Yashwant Ganesh Patil

I am a results-driven Data Engineer with 2 years of professional experience, focused on the intersection of scalable data architecture and advanced Generative AI. My core expertise is in designing, building, and deploying Agentic Applications—autonomous, multi-agent systems that automate complex business processes and deliver significant operational efficiencies.

​Core Technical Expertise

​My technical stack is robust, featuring:

• ​Generative AI & Agentic Systems: Proven ability in developing sophisticated agent architectures using LangGraph and CrewAI. Skilled in implementing Retrieval-Augmented Generation (RAG) for contextually accurate responses and utilizing Parameter-Efficient Fine-Tuning (PEFT) to enhance Small Language Models (SLMs).

• ​Data Engineering: Strong foundation in Python, PySpark, and SQL, with hands-on experience in building end-to-end ETL/ELT data pipelines.

• ​Cloud & DevOps: Proficient with AWS services including Glue, Lambda, and S3, ensuring data solutions are scalable and production-ready.

​Key Accomplishments & Projects

​In my role as a Data Engineer at LTIMindtree, I have successfully:

• ​Developed and deployed robust multi-agent pipelines that automated critical tasks, resulting in a 60-70% reduction in manual workload.

• ​Led innovative projects like 'Code Migration using AI Agents', utilizing RAG and PEFT to successfully convert complex legacy SAS/PL/SQL codebases to PySpark, demonstrating a strong capability in AI-driven automation and validation.

​Beyond my professional role, I have a strong portfolio of independent AI projects, showcasing full-stack development capability:

• ​AyurGuide: Conceived and shipped an MVP for an AI-powered conversational Ayurveda assistant, implementing a lightweight RAG plan with a normalized schema and guardrails to ensure traceable and safe guidance.

• ​GrowBot: Developed a research and alerting bot that computes technical signals from market data and produces explainable trade notes via LLMs, built on a modular pipeline using Python, FastAPI, and Redis.

​I am seeking remote opportunities where I can leverage my unique blend of Data Engineering and Generative AI expertise to solve complex business challenges, from building scalable pipelines to developing the next generation of intelligent, automated systems.