Anaconda, Inc.

Strategic Partner Sales Manager

Perle

Innovations in AI data management, visualization, and orchestration

Advisor

Raise Your Bar

AI product & GTM consulting

Check out my work & reviews at https://sheikhshuvo.com/

Founder

Amazon

Senior Business Development Manager 

Allen Institute for Artificial Intelligence (AI2)

I explored concepts in how machine learning models are evaluated, interpreted, and debugged

Entrepreneur In Residence

Voxel51

ML Visualization & Dataset Curation Tools for Camera Sensor Data

Product Strategy and Growth Lead

Mighty AI

(acquired by Uber ATG) 

I joined as employee # 14 and worked with the world's top self-driving car teams to build the training data sets that fuel machine learning models.

Some of my proudest accomplishments include: 

- Leading the pivot of technology and service offerings from general machine learning to automotive perception research
- Exceeding my 2017 quota by 400%+
- Growing a $50K pilot into a $1.2M partnerships within 9 months with a major European OEM
- Leading the strategic relationships with 20+ automotive OEMs, tier-1 suppliers, and tech companies
- Pursuing, architecting, and implementing partnerships with the University of Michigan, the Common Visual Database Foundation, and more
- Speaking at and creating content for major industry events including AutoSens, CVPR, and Automotive Megatrends

Business Development & Partnerships Manager

Techstars

I joined the team as employee # 15 and led the growth of UP Global into an entrepreneurship powerhouse and a thriving community throughout the Middle East and Asia Pacific. 

Some of my proudest moments include: 

- Facilitating and presenting at events across 32 countries, with audiences ranging from 15 to 1,250+ people
- Creating, implementing, and managing a project to pioneer startup events and programming in Iraq and Kurdistan that ultimately reached 2K+ Iraqi youth
- Launching the first remote office in Asia (based in Delhi) - building a team from ground up and exploding reach by 440%
- Developing expansion strategies for emerging markets within Middle East, China, India, and Australia. 
- Consulting with the US State Department in Egypt around developer evangelism and diversity initiatives

Senior Regional Manager, MENA + APAC (UP Global)

Merge Healthcare (now IBM Watson Health)

- Triaged support queries; decreased response times by at least 10% each quarter
- Advocated internally for new features and functionality based on customer feedback
- Created written and video content for customer knowledge base

Client Services Specialist

I build AI teams

I’m a generalist with a wide range of experiences in sales, GTM strategy, and business development across early stage startups to Amazon. 

I focus on applied AI, with a particular interest in computer vision applications. 

Outside of the above, I spend most of my time outdoors with my family (including 2 young girls + dog) and working on my pickleball game : )

Sheikh Shuvo

PayPal

Working on facilitating and orchestrating the adoption of Generative AI tools and technologies in a safe, secure, and responsible manner across the enterprise to improve how PayPal can serve its customers

Machine Learning Engineer, Generative AI Center of Excellence

Standard AI

•Effectively managed, mentored, and led a globally dispersed team of 4 software engineers and researchers, driving multiple projects with tight deadlines and managing them cross-functionally with engineering, product, and QA teams
• Designed and implemented an automatic labeling system for ML model training, leading to a 10x increase in software deployments and cutting development costs by 85% ($1M YoY in savings)
• Architected, and designed systems for automated training, deployment, and management of machine learning models, resulting in over 90% operational cost reduction ($1M YoY in savings) and 25% improvement in model accuracy
• Scaled and delivered multiple ML models including Pose estimation, critical to Standard’s checkout solution that lead to 10x more deployments
• Establishedvariousproductverticalsandassociatedpatentsinthefieldofhumantrajectoryanalyticsandre-identification based on visual features that had a compounding effect on the company’s ability to scale its technology globally across various retail industries.
• Led the design of crucial ML components for the next-gen hardware platform to enable scaling to the next 100 stores
• Spearheaded and built GPU based ML inference serving platform from scratch, that is now the only go-to solution for
deploying all ML and DNN algorithms
• Demonstrated proactive leadership in managing team culture, including the hiring process, onboarding engineers and interns, and ensuring the career growth of direct reports
• Defined the team’s short-term and long-term strategy, built the team’s roadmap, success metrics, and priorities, and translated them into engineering goals for the team

Engineering Manager, Machine Learning

Machine Learning Engineer

•Led the design and selection of critical ML compute components for the L4 vehicle program by developing and deploying multiple Deep Neural Network algorithms on various embedded platforms including hardware accelerators, GPU, SoCs
• Performed algorithm and software optimization on DNN-based algorithms to accelerate models upto 5x for embedded target platforms deployment for fully autonomous (L4) vehicle program, foundational to NIO Adam Supercomputer
• Designed and optimized DNN for lidar-based scene understanding algorithms for autonomous driving, including a two-stage object detection algorithm with multimodal input representations of BEV images and 3D voxels, resulting in compressed and accelerated algorithms.
• Designed and led the creation of a low-level library for Inference on Edge with custom operation support for running deep learning models on various hardware accelerators
• Mentored Sr Perception Engineers and interns to develop software for deploying multiple DNN models concurrently on the embedded target platforms

Perception Engineer, Autonomous Driving

ODH, Inc.

• Implemented Deep Learning and advanced ML algorithms including new predictive models, and new ways to describe and visualize medical claims data
• Critical impact on the company by improving short-term cost prediction for medical claims data by 90% using Deep Learning(LSTM) as a proxy for ordering patients for better medical care.

Rutgers University

• Worked on my master’s thesis, advised by Dr. Vishal Patel 
• Investigated the role of attributes in face recognition applications
• Investigated video based image retrieval from gallery images as in the case of surveillance application with multi-shot videos
• Worked with Deep Learning based methods to improve recognition performance.

Graduate Research Assistant

• Held recitations for CS-110 for 2 sections spanning 50 students
• Topics covered were Introduction to Computers, The Internet and World Wide Web, Computer Hardware
and Software, Software Applications, and Structured Programming in Scratch

Teaching Assistant

• Grading CS 428/523: Introduction to Computer Graphics for approximately 100 students
• Topics include SteerSuite, Unity Game Engine

Grader

Indian Institute of Technology, Delhi

• Studied various aspects of Eye Tracking, Speaker Recognition, Gait Recognition, Iris based authentication
• Formulated and published robust speaker verification algorithm invariant to noise and multi-channel
input.
• Studied dynamics and speed-invariance in gait based authentication using frame by frame analysis and
optical flow.
• Developed and published a novel method for error analysis for eye movement tracking for biometrics.
• Independently collected a database of human irises from 50 users(1000 images) in a period over one month.
• Recommended a better iris capture device which replaced the old hardware at Biometrics Lab

Visiting Researcher

Avanti Fellows- NSIT Chapter

• Founded NSIT Chapter of Avanti-Fellows after a rigorous one year volunteering process with Avanti-
Fellows
• Independantly grew from a team of one member to a team of 40 in less than a year.
• Formed and managed the teams of volunteers from NSIT in outreach and mentorship programmes

Rotaract Club

• Managed the finances of the club as a Treasurer from 2013-2014
• Volunteered in various events such as Joy of Giving Week, Collection drives etc.

Treasurer & Core Team Member

IIIT Hyderabad

• Formulated and published gesture recognition modules for controlling Audio-Books for visually impaired with OpenCV
• Compared color-based and color-independent tracking of hand based gesture

Summer Research Intern

Defence Research and Development Organisation

• Implemented a temperature measurement and recording system using PIC micro-controller, keeping in
mind the organization’s aim for extrapolating it to measure temperature of blasts and explosions
• Developed a Light Detector and a Bridge wave rectifier as a weekend project.

Summer Intern

As a Machine Learning Engineer at PayPal, I am driven by a passion for enabling the adoption of Generative AI technologies in a safe, secure, and responsible way to transform how we serve our customers. With over 7 years of industry experience and 6 years of research expertise in Perception, Computer Vision, and Deep Learning, I have a proven track record of building scalable, impactful ML solutions.

Previously, as an Engineering Manager at Standard AI, I led a global team of engineers and researchers to tackle complex challenges in autonomous checkout and edge AI. Highlights include designing an automated labeling system that boosted software deployments by 10x while reducing development costs by 85% ($1M YoY savings) and creating systems for automated training and deployment of ML models, leading to a 90% operational cost reduction and a 25% increase in model accuracy.

Throughout my career, I’ve worked across diverse domains including Autonomous Vehicles at NIO, Healthcare at Otsuka Digital Health, and Biometrics at IIT Delhi, India. As a Senior Member of IEEE with multiple patents and publications in Machine Learning, Computer Vision, and Edge AI, I remain deeply committed to advancing AI innovation.

Areas of Interest:

	•	Machine Learning & Deep Learning
	•	Generative AI
	•	Edge AI
	•	Computer Vision & Scene Understanding
	•	DNN Algorithm Development, Compression, & Optimization
	•	Biometrics

For more details, view my resume: bit.ly/42L68jq

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Sheikh Shuvo

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