Scale Better

Delivering hands-on technical solutions and architecture across enterprise clients with focus on AI-enhanced development workflows Key Technical Deliveries:

→ AEM Implementations: Custom component development, workflow automation, multi-site architecture, and integration with modern AI tools for content management.

→ Java/SpringBoot Applications: Full-stack development, microservices architecture, REST API development, and implementation of AI-powered automation pipelines

→ Built RAG systems and local AI agents for business process automation, reducing manual development overhead by 70%.

→ Technical Leadership: Guided cross-functional teams on modern development approaches while delivering hands-on solutions.

→ Training & Knowledge Transfer: Delivered cost-effective AEM and Java training programs, accelerating team skill development and reducing external consultant dependency.

→ Architecture Design: Created comprehensive technical documentation and integration workflows for complex enterprise systems.

🎯 Impact: Successfully integrated AI capabilities into traditional enterprise development workflows while maintaining delivery excellence and team productivity.

Fractional CTO

Avasam

Technical strategy implementation and hands-on development leadership for e-commerce platform scaling

Key Technical Deliveries:
→ Web Applications: Full-stack development, microservices architecture, and REST API development for high-traffic e-commerce platform

→ Technical Leadership: Providing hands-on technical guidance while advising on technology roadmap and modern development practices  

→ Architecture & Implementation: Leading technical projects with direct involvement in microservices design, cloud-native solutions, and third-party system integrations

→ Team Development: Mentoring senior developers and engineering teams on best practices, modern development workflows, and delivery optimization

→ Innovation & Automation: Implementing GenAI solutions, automation pipelines, and modern development practices that improve team productivity and platform scalability

🎯 Impact: Enhanced platform performance and team capability while maintaining rapid feature delivery and system reliability.

HSBC

Technical leadership for global Loyalty & Rewards platform serving millions of customers

→ Team Leadership: Led 60+ engineers across multiple streams (Mobile, AEM, Frontend, Backend, APIs, DevOps) with hands-on technical guidance and global coordination across EMEA and APAC regions

→ Platform Architecture: Architected and implemented global multi-market customer experiences using AEM 6.5+ with custom components and SpringBoot microservices for banking APIs

→ Delivery Optimisation: Established reusable component strategy and CI/CD frameworks, cutting delivery time by 40% through technical process improvements

→ Engineering Excellence: Introduced modern DevOps workflows and established code quality standards, review processes, and development best practices

→ Cross-functional Collaboration: Worked directly with Business and Product teams on technical roadmap planning and backlog optimisation

🎯 Impact: Delivered enterprise-scale platform architecture serving millions of customers while leading 60+ engineers globally, achieving 40% delivery improvement and establishing engineering practices adopted across multiple business units.

Head of Technology

Publicis Groupe

Hands-on technical architect delivering enterprise solutions for global brands.

Key Technical Deliveries:

→ Solution Architecture: Designed and implemented end-to-end technical solutions for complex business requirements and external system integrations

→ Full-Stack Development: Built scalable AEM implementations with modern React frontends, focusing on performance optimization and user experience

→ Team Leadership: Led development teams through agile transformation while maintaining hands-on involvement in critical technical decisions

→ Client Engagement: Conducted technical demos, provided development standards guidance, and collaborated directly with client technical teams on implementation strategies

→ Technology Innovation: Introduced automation opportunities and modern development practices that improved team productivity and code quality

🎯 Impact: Delivered scalable enterprise solutions for global brands while establishing technical standards that enhanced team efficiency and client satisfaction

Technical Architect

I-SYSTEMS CONSULTANCY LIMITED

Notable Technical Deliveries:

↳ JPMorgan Chase: Architected and delivered comprehensive AEM Practice solutions for regulatory compliance, including hands-on multi-market AEM 6.5 implementation with 30+ custom components, automated workflows, and integration with compliance reporting systems

↳ Nissan/Renault & Reed Exhibitions: Built and deployed global car configurator platform with custom AEM components, real-time pricing templates, and API integrations across 700+ sites. Led technical implementation while coordinating with international development teams across multiple markets

↳ Goldman Sachs & Audi: Developed enterprise-scale financial analytics platforms using Java/SpringBoot microservices and React frontends for £100M+ portfolio management systems. Delivered full-stack solutions with real-time data processing and advanced reporting capabilities

↳ Adobe, Shell, Aetna & Aviva: Led hands-on technical delivery for complex enterprise integrations and microservice development. Implemented scalable solutions while providing technical guidance to client development teams

↳ Mercedes Benz, Bank of Abu Dhabi: Delivered enterprise CMS implementations and greenfield retail product management platforms. Combined technical architecture with hands-on development to ensure successful project delivery

Earlier Career:

Senior Software Engineer roles at CMC Markets and enterprise organisations (2005-2010) - Led development of trading applications and content management systems - Established foundation in enterprise Java development and team leadership

Previous Senior Technical Roles

🚀 Helping clients scale product & engineering ops 🚀 Head Of Tech | FractionalCTO | Product Ops | Content Ops | Transformations | Automation | AEM Specialist | Solution Architect | E2E Technologist | Digital Strategist

I’m a hands-on Senior Tech Lead, having 20+ years of planning, implementation and delivery experience, specialised in  AEM CMS (Adobe Experience Manager) and Java / Spring Cloud / Kafka / Python / Microservices implementations across financial services, automotive, startup, agency and other industry verticals.

I build and deliver enterprise-scale technical solutions while leading development teams to success. Deep expertise in AEM implementations and full-stack Java applications, combined with proven leadership capabilities.

What I Deliver:

✔️ Hands-on Technical Leadership: AEM architecture, Java / SpringBoot / Kafka / React development, full-stack solutions
✔️ Team Leadership: Led teams from 5 to 60+ engineers across global projects
✔️ Delivery Excellence: 40%+ efficiency improvements through technical excellence and AI integration

Core Expertise:

→ Adobe AEM/CMS: 10+ years of hands-on development, custom components, workflows, integration (prev. experience with Magnolia & Alfrasco)
→ Java/SpringBoot: Enterprise applications, microservices, REST APIs, kafka, full-stack development
→ Frontend: React, Angular, JavaScript, responsive design and modern web standards
→ Cloud & DevOps: AWS, CI/CD, Docker, automated deployment pipelines
→ AI Integration: Modern automation and AI-powered development workflows (emerging expertise)

Recent Delivery Highlights:

✅ HSBC: Led 60+ engineers delivering loyalty platform serving millions
✅ Nissan/Renault: Led development of global platform for 600+ sites
✅ JPMorgan Chase: Delivered AEM solutions improving efficiency by 40%
✅ Training & Mentoring: Delivered AEM training programs reducing external consultant dependency

Current Availability:

♦️ Immediate Start Available for 3-12 month contracts (Outside IR35 preferred)
♦️ Senior Senior AEM Developer | Technical Lead | Solution Architect | Engineering Manager roles
♦️ London-based, remote/hybrid/onsite worldwide

Let's connect for technical leadership that delivers results.

Manish Dani

Prithu

Co-founder & CTO

Organic Ledger 

Fractional CPTO

Purple Labs

• Led a team comprising of product managers, developers, data scientists, marketing and monetization, dev-ops and UI/UX to build and scale Avant-Garde B2B SaaS Platform (MAP+CRM+ATS) and Community Tech App powered by Generative AI and Graph ML for the HRTech and Community Tech domain. 

• Defined the Tech, Product and Platform Vision and Strategy for PMF, Go to Market, Positioning and Category Leadership.

• Tools, Technologies & Platforms: React, Python, Java, Django, Apache Spark ML, Kafka, Next.js, Node.js, MySQL, MongoDB, Docker, Android (Kotlin) & iOS (Swift), Generative AI, Graph ML, TensorFlow, PyTorch, Deep Graph, LLMOps

• AI and ML Algorithms: NLP, LLM, GLM, DRF, XGBoost, CNN, RNN, BERT, VAE, RBM, Ensemble Learning, Hidden Markov, GAN

Head of Tech, Product and Data Science

Indian Institute of Management Jammu

Full Term Course - Big Data, Cloud and IOT Analytics

Professor of Practice

KalaGato

• Led a team comprising product managers, developers, data scientists, marketing and monetization, dev-ops and UI/UX to identify, acquire, appreciate category leading high growth mobile apps in different thematic categories such as FinTech (Bank Balance, GST), Gaming (Clone Armies), TMT (Hammer, HDC), Blockchain & Privacy (Ryn VPN, Fast Browser), EdTech (HET).

 Key Portfolio Stats - ARR  > 2 MM USD, MAU 20 m+, DAU 10 m+ 

• Outlined the Tech, Product & Platform Strategy for streamlining and scaling deal scouting, scoring and management, product analytics, portfolio tracking and management and for turbocharging the app growth, monetization, and appreciation through superior app & user insights and addressal of whitespaces. 
 
• Key Projects, Products and POCs: Proprietary Ad SDK, Anti-fraud SDK, E-com Consumer Intel Platform, CRM - E2E Deal Management, App Analytics Platform, Portfolio Tracking, Telemetry Alerting and Anomaly Detection
  
• Tools, Technologies & Platforms: Google AdMob, Google Ads, Meta Ads, GA, AppTweak, Python, Golang, Apache Spark ML, Next.js, Node.js, Docker, Android (Kotlin) & iOS (Swift), Gen AI, LLM, TensorFlow, PyTorch, FastAPI, Grafana

• AI and ML Algorithms: NLP, LLM, GLM, DRF, XGBoost, CNN, RNN, BERT, VAE, RBM, Ensemble Learning, Hidden Markov, GAN

Chief Technology Officer

SmarTek21

• Led a team comprising product managers, software developers, data engineers, data scientists, dev-ops, marketing, pre-sales and UI/UX to accelerate business outcomes for Fortune 500 Clients in Healthcare, Telecom, BFSI and Ecommerce Domain in the areas of data integration and management, revenue assurance, customer experience management, ops transformation, and fraud management.

• Developed Next Gen Intellitek Health Platform for healthcare multi-model data integration and management needs for accelerating development of SMART Apps enabled by FHIR interoperability (FHIR APIs + Adapters + Accelerators).

• Augmented the capabilities of Conversational AI Platform, Smart Bot Hub with multilingual support, multimodal QnA, information retrieval and sentinel learning features to differentiate ST21 offering and to bolster our leadership position. This also resulted in SBH being featured in prestigious Gartner Magic Quadrant.

• Developed Industry First Enterprise E2E Data Ops Platform, ECC to enable seamless data ingestion, in-flight data wrangling and centralized data sink & pipeline governance for data interoperability across hybrid deployment scenarios.

• Tools, Technologies & Platforms: Angular9, Node.js, Python, Nifi, Java, Apache Spark ML, Scala, LLM, Okta, Kafka, Django, Tensorflow, PyTorch, Keras, AWS, Azure, GCP, Mirth Connect, Databricks, Docker, Kubernetes, MLOps

Global Head - Tech, Product & Data Science (Acting CPTO and India Site Lead)

Subex

• Led a team comprising product managers, UI/UX, developers, data scientists and product marketing specialists to accelerate business outcomes for Fortune 500 Clients in BFSI and Telecom Domain (B2B/B2B2X) in the areas of revenue assurance, customer experience management, network asset management, and fraud management.

• Conceptualized, Architected and Developed Industry First Enterprise Augmented Analytics (ETL+AI+NLG), HyperSense to enable seamless and integrated Data Ops, BRM and Data Science Operation under the hood for Telecom Clients for accelerated development of next gen applications. HyperSense featured in Gartner Cool Vendor list for Augmented Analytics Products and Solutions.

• Augmented the capabilities of Enterprise Anomaly Detection Platform, CrunchMetrics to achieve product and revenue leadership in Anomaly Detection Space for Business Monitoring, SIEM, UEBA, NTA and SOAR.

• Tools, Technologies & Platforms: React, Python, Go, Java, Nifi, PostgreSQL, MongoDB, Cassandra, Apache Spark ML, AutoML, NLP, AWS, Azure, GCP, Kong, Docker, Kafka, MQTT, Django, Koalas, Tensorflow, PyTorch, MLflow, Grafana

Director - SaaS Platform Products and Data Science

Accenture Strategy & Consulting

Accenture Strategy - Resources Practice - Industry X.0 - Artificial Intelligence, IoT, BigData

• Spearheaded the AI, ML, NLP and Advanced Analytics led Digital Transformation Engagements with Fortune 500 Clients in the Resources Industry Practice of Accenture. Our Client base in the Resources Industry Group consists of companies within Energy & Utilities, Oil & Gas, Building Materials, Chemicals and Metals & Mining – typically global companies that act on global, competitive markets.

• Led the AI and ML powered Product and Platform Development Initiatives within the Resources Industry Group of Accenture Strategy Capability Network.

• Developed COE Framework, Compendium of Use Cases, Model Zoo Inventory, Soft IPs to accelerate AI Asset Creation during Pilot Phase in Resources Practice from the stage of Service Ideation to MVP creation.

• Key Projects, Products and POCs: Wells Invoicing Automation, Profit Margin Prediction Tool, AI led Riser Integrity Management, CX Price Prediction Tool, Payment Propensity Model, ID Fraud Detection Model, Energy Theft Detection 


• Tools, Technologies & Platforms: Angular 8, Python, Java, Apache Spark, H2O.ai, KNIME, ML, Deep Learning, NLP, AWS, Azure, MLflow

Associate Principal - AI and Industry 4.0 COE and Delivery

Virtusa

• Led a team to accelerate business outcomes for Fortune 500 Clients in BFSI & HLS Domain in the areas of revenue management, customer experience management, fraud detection, ops transformation, and regulatory compliance.

• Conceptualized, Architected and Developed an AI Experimentation Platform to enable Structured AI Solution Delivery in any enterprise from Ideation to MVP/CVP creation. Also was designated Product Leader for Open API Innovation Fintech Platform for banking.

• Key Projects, Products and POCs: Product Recommendation Engine (Corporate Banking), Credit Default Prediction, Fraud Detection (AML), KYC EDD, Trade Surveillance, Covenant Management, FX Confirmation, FS Analysis, Margin Call Automation, Pitchbook Automation, Intelligent Document Automation.
           
• Tools, Technologies & Platforms: Angular 8, Python, Spark, H2O.ai, KNIME, ML, Deep Learning, NLP, AWS, Azure, MLflow

Deputy Head - Fintech and AI Labs

Mu Sigma Inc.

• Delivered AI and Advanced Analytics Advisory & Consulting Services to Fortune 500 Clients in BFSI & HLS Domain to implement Data Driven Marketing, Supply Chain and Risk Management Strategies.

• Led a delivery unit of worth USD 15 Million.

• Spearheaded FY18 Account Planning exercise for Top 40 accounts of Mu Sigma.

• Institutionalized Org level initiative of Growth Hacks (systematic framework to accelerate growth) under the leadership of Buck Stops Here Team.

• Led a team of data scientists and data engineers to drive projects in the areas of Customer Segmentation, Launch Analysis, Competitive Intelligence, Marketing-Sales Effectiveness and Supply Chain Optimization.

• Key Projects: Multi Touch Attribution Modelling, MMx Modelling, Launch Analytics, Sales Force Analytics, Speaker Program Assessment, Patient Journey Analytics

• Tools, Technologies & Platforms: React, Python, R, SAS, Dataiku-DSS, H2O.ai, KNIME, ML, Deep Learning, AWS, Azure, GCP

Delivery Leadership - AI/ML Delivery and Product Management

PhD Candidate at TBS France, MBA from IIM-L, B.E. from MSU || Chief Product and Technology Officer || Site Lead || Head of AI || Building and Scaling SaaS Products and Consumer Applicatios || Professor of Practice at Top B Schools

Industry/Domains: 
Emerging Tech (AI/Blockchain/IOT), Consumer Tech, SaaS, FinTech, HealthTech, E-commerce, BFSI, HLS, TMT, Gaming, AdTech, Edtech, AgriTech, Industry 4.0 (Energy & Utilities, Oil & Gas and Metals & Mining)

Career Synopsis:
15+ years of varied and rich experience in Consumer Tech and Enterprise Tech. Specialized in AI, Multitenant SaaS Platform and Consumer App Development, Product Management (B2B/B2C/B2B2C), ETL and Big Data Analytics, Emerging Tech Consulting, and Strategic & Risk Management.

Skills, Interests and Certifications: 
AI, ML, Deep Learning, NLP, Generative AI, Graph ML, IoT, Computer Vision, Data Engineering, Big Data Analytics, Blockchain || B2B & B2C Product Management and Platform Development || Tech Consulting || Quantum ML, Web3 and Cybersecurity Enthusiast || SAFe Agilist || 6σ GB II 6 AI Patents

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