Headline

Generative AI Engineer & Data Analyst @ Capgemini | Python · LLMs · RAG · Agentic AI

About

I’m a Generative AI Engineer and Data Analyst at Capgemini, building production-ready AI systems that deliver real business impact. 🔹 What I do: • Design and deploy Generative AI systems (LLMs, RAG, Agentic AI) • Build automation and decision-support pipelines using Python & ML 🔹 Experience highlights: • ~2 years of hands-on experience across GenAI, ML, and NLP • Awarded “Shining Star” at Capgemini and recognized as a Top Performer by the client for consistent high-impact delivery • Collaborating with client stakeholders and cross-functional teams across the globe. • Built award-winning solutions like VirTraYog — a digital fitness platform recognized as Best Project at a state-level expo 🔹 Tech stack: LLMs (GPT-4, LLaMA 2/3, Gemini) · RAG · Hugging Face Python · ML/DL · NLP · Agentic AI GCP · Data Analysis · Feature Engineering Always open to collaborating on impactful AI problems.

Location

Bengaluru

AI stack

hugging face

langchain

langgraph

openai

Work experience

Data Analyst at Capgemini, Oct 2024 - Present · 1 yr 7 mos, Bengaluru, Karnataka, India, •Partnered with cross-functional teams to convert business requirements into actionable insights. •Currently working on Prompt Engineering for hyperautomation initiatives, delivering innovative solutions for a leading FinTech client. •Developed and implemented Agentic AI use cases; actively contributed to hackathons and multiple proof-of-concepts leveraging GA4 and Adobe Analytics.

Remote AI Intern at Stochastic, Mar 2024 - Aug 2024 · 6 mos, Boston, Massachusetts, United States, • Developed a Generative AI system for automated juice recipe creation • Integrated structured datasets with LLM-based generation workflows • Worked on data preprocessing, feature engineering, and evaluation

AI Intern at GreenPepper + AI, Feb 2024 - May 2024 · 4 mos, Worked as a lead for a team of 4 people and a Gen AI developer- Developed a YouTube summarization app using Llama 2, Haystack, and Streamlit. Contributed to a review paper on Large Language Models in Radiology.

Education

Bachelor of Engineering - BE, Electronics and Communications Engineering, Dayananda Sagar College of Engineering, BANGALORE

Pre-University, PCMB, Soundarya PU College,Bengaluru