Abhinav Kumar

AI Researcher

Pune, Maharashtra, India5 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

3+ years of experience in the Analytics Domain.
Proficient in Python, C, C++, and Machine Learning.
Strong interpersonal skills and excellent communication.

Stackforce AI infers this person is a Data Science and Machine Learning professional with experience in SaaS and Healthcare.

Contact

Skills

Core Skills

Machine LearningData ScienceData Engineering

Other Skills

PL/SQLTime Series ForecastingMathematicsPredictive ModelingRequirements GatheringRegression ModelsAttention to DetailTime Series AnalysisKnowledge AcquisitionLarge Language Models (LLM)StatisticsOral CommunicationCommunicationWritingLearning

About

I possess 3+ years of invaluable experience in Analytics Domain especially in Retail Domain, also proficient in Python, C, C++ and Machine Learning, OS Concepts, DBMS etc. An excellent communicator possessing strong interpersonal skills, being an overall team player with strong empathy when dealing with team members.

Experience

5 yrs

Total Experience

1 yr 6 mos

Average Tenure

5 mos

Current Experience

Natwest group

GenAI Engineer

Jan 2026 – Present · 5 mos · Pune District, Maharashtra, India

Working as a third-party resource in POD 4 Team of NatWest through TCS for their Customer Onboarding Project Automation and Agents Implementation

Tata consultancy services

2 roles

Researcher

Promoted

Sep 2025 – Jan 2026 · 4 mos

Worked with Multi-armed Bandit Algorithms for Berlin V2X Network Communications for accurate prediction of target 'datarate', synthetic data proof that contextualised LinUCB is better than non-contextual epsilon-greedy and UCB algorithms.

IT Analyst

Aug 2025 – Sep 2025 · 1 mo

Ust

Data Science Intern

Mar 2025 – Jun 2025 · 3 mos · Bengaluru, Karnataka, India · Hybrid

Blog AI Assistant - Scraped blog articles realtime, performed the rag using BGE embedding and gpt-3.5-turbo. Deploying the ML pipeline on Streamlit.
Multimodal Image Retriever - Downloaded birds images via data pipeline, a multimodal rag using BGE embedding for text, CLIP embeddings for images and GPT-3.5-turbo for generation
PDF retrieval advanced RAG Agent - an advanced RAG agent with PDF retrieval augumented with cohere ranking and contextual compressors.

Intel corporation

GPU SDE Intern

Jul 2024 – Jun 2025 · 11 mos · Bengaluru, Karnataka, India · Hybrid

Worked in the Intel Graphics Display Driver Validation Team, automating test content related to display features ensuring display features operate properly.
Worked on HDR, ACM specific feature scenario enabling like Multi-Display Config, Single-Display Config, Quantization etc.
Ramped up with trainings associated with Color fundamentals like LACE, 3DLUT, Quantization (for RGB, YCbCr444 Color Formats etc.
Analyzed test scenario failures like Plane Pixel Format failures, Scoping failures, Trigger Failures through ETL Analysis, Triaging techniques. (Display Blankout, Flickering etc.,)
Involved in resolving HSDs associated with Panther Lake, Battlemage Executions.

Indian institute of information technology lucknow

Research And Teaching Assistant

Aug 2023 – Aug 2025 · 2 yrs

Worked under the supervision of professors Dr. Niharika Anand, Dr. Soumendu Chakraborty and Dr. Rahul Kumar Verma for conducting labs, quizzes, correcting papers for Data Structures & Algorithms, Computer Organization Architecture, Theory of Automata.
Working on the CST-UP sponsored research project titled 'AI-based Burn Percentage Calculation and Fluid Estimation: Enhancing Burn Care Efficiency' under the supervision of professor Dr. Niharika Anand.

PL/SQLTime Series ForecastingMathematicsPredictive ModelingRequirements GatheringRegression Models+15

Omdena

Junior ML Engineer

Nov 2021 – Feb 2022 · 3 mos · London, England, United Kingdom

Worked on building AI system for Illegal Sea Immigration Detection on vessels for the partner AcuaOcean with the help of 50 collaborators.

Tata consultancy services

System Engineer

Apr 2021 – Jul 2023 · 2 yrs 3 mos · Kolkata, West Bengal, India

Worked in Analytics and Insights team of TCS for Co-op Retail UK client.
Worked with LSTMs, ARIMA model for time series based demand forecasting of everyday sales and transactions.
Analysing transaction sales and association data rule mining for promotions, assortment of products in shelf on a quarterly basis to optimize everyday sales and using KPIs and growth metrics to measure the same.
Created Excel dashboards and reports to visualise the weekly sales and transactions and delivered actionable insights through standard statistical analysis & estimation (SAE).

Programming LanguagesTime Series ForecastingPythonData ScienceStandards ComplianceRegression Models+9