Headline

Associate consultant at Infosys | Gen AI Engineer & Data Scientist

About

I am a Gen AI Engineer and Data Scientist with over 4 years of experience bridging the gap between complex data engineering and advanced machine learning. With a Master’s degree in Statistics and a strong foundation in database administration, I specialize in architecting scalable data pipelines and deploying production-ready AI solutions. Currently, as an Associate Consultant at Infosys, my focus is on the rapidly evolving generative AI landscape. I build production-grade RAG (Retrieval-Augmented Generation) applications utilizing LangChain, HuggingFace, and vector databases like Qdrant to transform unstructured data into actionable insights. I am passionate about reducing hallucinations through structured prompt engineering and developing API-triggered, real-time machine learning systems. My technical toolkit spans the entire ML lifecycle. On the data engineering side, I design robust SQL-based ETL pipelines, handle complex data transformations, and manage imbalanced datasets using techniques like SMOTE. On the MLOps side, I track experiments and deploy models utilizing tools like MLflow, Databricks, and AWS. I love uncovering insights from messy datasets, optimizing algorithms, and turning them into tangible business value. Always open to discussing data architecture, exchanging thoughts on the latest LLM developments, or collaborating on open-source projects!

Location

Satara

AI stack

antigravity

github copilot

langchain

langgraph

langsmith

Qdrant

Work experience

Associate Consultant at Infosys, Apr 2026 - Present · 6 mo, Pune Division, - Built hybrid retrieval pipelines (dense embeddings + BM25 + cross-encoder reranking) with tuned chunking and metadata extraction to improve retrieval relevance. - Developed agentic workflows with tool calling, multi-turn memory, and error recovery (retries, timeouts, cooldowns) for reliable external API calls. - Enforced structured LLM outputs with Pydantic and guardrails; evaluated with golden datasets, A/B prompt tests, and LLM-as-a-judge (hit rate, latency, cost).

Senior System Engineer at Infosys, Jan 2025 - Present · 1 yr 10 mos, Pune District, Designed and maintained robust SQL-based ETL pipelines processing 15-20GB of data daily, improving overall data accuracy by 20%. Engineered and deployed predictive models for customer segmentation and churn, achieving 90-95% accuracy to drive targeted retention strategies. Automated extensive EDA and feature engineering workflows using Pandas and NumPy to enhance model performance and data quality. Mitigated data imbalances using techniques like SMOTE and tracked end-to-end model experiments utilizing platforms like MLflow and Databricks. Developed interactive dashboards and visualizations with Matplotlib, Seaborn, and Tableau to translate complex datasets into actionable business intelligenc

System Engineer at Infosys, Apr 2022 - Dec 2024 · 2 yrs 9 mos, Provided critical Oracle Application Database Administration support on Linux servers, covering versions 12c and 19c. Managed user accounts, access privileges, and database security protocols, ensuring a 99.9% compliance rate with strict organizational standards. Led L1 technical support initiatives, consistently achieving a 97% resolution rate within strict SLA timelines to minimize system downtime.

Subject Matter Expert at Chegg India, Jan 2020 - Apr 2022 · 2 yrs 4 mos, Satara, Maharashtra, India

Education

Master's degree, Statistics, Sadguru Gadage Maharaj College, Vidyanagar, KARAD

Bachelor's degree, Statistics, shivaji university

Public links

github: https://github.com/Shrinathrajeshirke