Principal Data Scientist with over 8 years of experience in the full lifecycle of Machine Learning solutions, including strategy development, value discovery, code implementation, deployment, and monitoring. 

My expertise in ML and Optimization enables the creation of robust, accurate solutions, driving $3-10M in additional annual revenue per project.

As a Data Science Manager, I have 4 years of experience in leading, hiring, and managing data science teams. I am capable of organizing team work under harsh deadlines and complex project scopes. 

𝐈 𝐚𝐥𝐬𝐨 𝐞𝐧𝐣𝐨𝐲 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐨𝐭𝐡𝐞𝐫 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 𝐠𝐫𝐨𝐰 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 𝐛𝐲:
- Upgrading their CVs/LinkedIn
- Providing 1:1 Career Mentoring
- Sharing Free Practical ML Materials to support their technical growth

𝐌𝐲 𝐚𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬 𝐨𝐯𝐞𝐫 𝐭𝐡𝐞 𝐩𝐚𝐬𝐭 𝐬𝐞𝐯𝐞𝐫𝐚𝐥 𝐲𝐞𝐚𝐫𝐬:

✅ Increased by $60M+ customer revenue by delivering 4 real-time end-to-end ML solutions that optimized Metals and Mining assets. During the projects, successfully managing the team of 7 Data Scientists. The solutions showed 2.5%+ increase of plants throughput and stabilized by 25%+ of the product variability.

✅ Identified potential $50M customer revenue improvement by completing 5 bottleneck analysis projects for Tier-1 metals and mining companies, resulting in new projects with them.

✅ Increased by 1.2% oil and gas production for 2 clients by leading the from-scratch development of the "AI Oil Optimization Assistant" solution. This is an ML software for accurate prediction and optimization of oil and gas production in real-time by using advanced ML and Optimization algorithms.

✅ Grew and structured a DS team from 5 to 20 data scientists who formed 4 internal teams responsible for specific solution directions.

► Tech Skills: Machine Learning | Data Science | AI | Data Analytics | Predictive Analytics | MLOps | Time Series | Anomaly Detection | Deployment  | Optimization | Git | Kedro | MLFlow | Scikit-Learn | XGBoost | Numpy | Pandas | SHAP |  Scipy | Docker

► Soft Skills: Team Management | Leadership | Empathy | Project Management | Presentation Skills | Problem Solving | Stakeholder Management

Timur Bikmukhametov

You know who is trying to make you believe that AI will write 90% of the code by 2027?



It’s CEOs of these AI companies.

Not TOP researchers.

Not the ones who ship production every day.

It’s the ones who make billions from the air out of it.

And yet, people believe it.

Timur Bikmukhametov, PhD

Helping grow ML skills & careers in my ML Academy | World Top 3 ML LinkedIn Voice (Favikon)

GenAI Dev| TensorFlow Certified Developer| Certified Nvidia Jetson AI specialist| Kaggle Master| ⚙️Enthusiastic & Curious about AI (Reinforcement Learning, 3D CV, Time Series,NLP)| 🧑‍🏫Pursuing M.Tech, AI&ML@BITS PILANI

Hi, I’m an AI Engineer and Applied Researcher focused on building intelligent systems that translate advanced research into real-world, production-scale impact. I hold an M.Tech. in Artificial Intelligence and Machine Learning from BITS Pilani, with a strong foundation in machine learning, deep learning, applied AI research, and AI security.

I actively compete in machine learning and deep learning competitions, primarily in research and feature engineering-driven computer vision, audio processing, and NLP problems, with experience across 100+ ML/DL competitions. This has strengthened my expertise in data-centric AI, feature engineering, model optimization, ensembling, and robust validation strategies.

Professionally, I have built and deployed AI solutions across healthcare, manufacturing, automotive, and finance. My work includes real-time video analytics systems, 2D and 3D computer vision pipelines, NeRF-based 3D reconstruction and photogrammetry, intelligent document automation using cloud AI services, financial time-series forecasting, agentic LLM workflows, and multi-component AI pipelines (MCP).

My technical expertise spans Generative AI, deep learning, computer vision, NLP, financial AI, LLMs, agentic AI systems, MCP, and AI security. I have hands-on experience deploying models end-to-end on cloud platforms (Azure, AWS, Databricks) and edge devices (NVIDIA Jetson, Raspberry Pi), covering the full AI lifecycle from data engineering and model development to MLOps, deployment, and monitoring.

My research interests include 2D and 3D computer vision, generative AI, agentic LLM systems, AI security, financial AI, hyperparameter optimization, and pattern recognition. I have published research in arXiv, IEEE, and IRJIET, and hold certifications including TensorFlow Developer, Azure AI Engineer, and NVIDIA Jetson AI Specialist.

I enjoy working at the intersection of research, engineering, and business impact, helping organizations turn AI ideas into scalable, real-world products.

📂 Portfolio: https://vk-ant.github.io/Venkatkumar

🤝 Let’s connect and build intelligent systems that scale.

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