Headline

AI/ML Engineer | Generative AI, RAG Pipelines, LangChain, LangGraph, XGBoost, FastAPI, Docker | AWS Certified Solutions Architect

About

AI/ML Engineer with 18 months of hands-on experience delivering production Generative AI and machine learning systems — not tutorials, shipped applications with real users. I've led end-to-end delivery of 3 production AI apps (LangChain, Gemini API, RAG pipelines) at AIVariant, an AI consulting studio in Pune, covering everything from data ingestion to deployment. My work spans classical ML (XGBoost, feature engineering, NLP) and GenAI (RAG, LangGraph agentic systems, prompt engineering), backed by an AWS Solutions Architect Associate certification and FastAPI/Docker deployment experience. Five of my projects are live and testable — links in Featured. Currently looking for full-time AI/ML Engineer roles in Pune or remote. 📧 biradarpratiksha296@gmail.com | GitHub: github.com/pratikshabiradar19

Location

Pune/Pimpri-Chinchwad Area

Work experience

AI/ML & Generative AI Intern at Aivariant, Feb 2025 - May 2026 · 1 yr 4 mos, Delivered production ML and Generative AI applications end-to-end, from data pipeline to deployment. - Led end-to-end delivery of 3 production AI applications using LangChain, Gemini API, and RAG pipelines — from data ingestion through Streamlit deployment, retained across the full engagement - Built and evaluated ML models (classification, regression, NLP) on 10,000+ record datasets; XGBoost with targeted feature selection outperformed baseline across 5+ projects - Engineered a chunking strategy (RecursiveCharacterTextSplitter, 1,000-token/200-overlap) improving answer relevance on long-document queries and cutting processing overhead ~30% - Automated data-preprocessing pipelines on 50,000+ row datasets, reducing null-value rates 95% and delivering 10+ reporting dashboards for stakeholder review

Data Analyst at Aivariant, Jul 2024 - Feb 2025 · 8 mos, Supported data-driven decision-making through cleaning, analysis, and reporting on business datasets. - Performed data cleaning and exploratory data analysis on business datasets to identify key patterns - Built dashboards and automated reporting pipelines using Python and Excel, reducing manual reporting effort - Queried and analyzed structured data using SQL to support stakeholder decision-making - Applied statistical analysis to surface actionable insights for business stakeholders

Education

Bachelor's degree, Computer Science & Technology, DY Patil College of Engineering, Pune

Savitribai Phule Pune University