Aashutosh Barve

About

Electronics and Telecommunication Engineering student with strong foundations in Java, Python, SQL, and Spring Boot. Builds full-stack, RAG, computer vision, and embedded systems projects with hands-on experience across web development, APIs, and applied machine learning.

Education

• B.Tech.
  Pune Institute of Computer Technology (PICT), Pune
  Electronics and Telecommunication Engineering · Jul 2024 – Jun 2028
• HSC/12th
  The New College, Kolhapur
  Higher Secondary Education · Nov 2020 – Mar 2022
• 10th(CBSE)
  Podar International School, Sangli
  Secondary Education · Apr 2018 – Mar 2020

Skills

• SQL 6 to 12 months
• C Less than 3 months
• CSS Less than 3 months
• Express.js Less than 3 months
• HTML Less than 3 months
• Python 1 to 2 years
• Java 1 to 2 years
• JavaScript Less than 3 months
• Node.js Less than 3 months
• scikit-learn 6 to 12 months
• OpenCV 1 to 2 years
• React Less than 3 months
• ESP32 1 to 2 years
• LangChain 3 to 6 months
• JWT 3 to 6 months
• RESTful APIs 3 to 6 months
• LangGraph 3 to 6 months
• Sentence Transformers 3 to 6 months
• Bm25 Less than 3 months
• Crossencoder Reranking Less than 3 months
• Mediapipe 6 to 12 months

Tools / apps / platforms

• Arduino 1 to 2 years
• Chroma 6 to 12 months
• Docker 3 to 6 months
• Git 3 to 6 months
• GitHub 3 to 6 months
• GitHub Actions Less than 3 months
• MongoDB 3 to 6 months
• MySQL 6 to 12 months
• Postman 6 to 12 months
• Proteus 1 to 2 years
• Raspberry Pi 6 to 12 months
• VS Code 1 to 2 years

Languages

• Hindi Fluent Speak
• Marathi Native / Bilingual Speak
• English Fluent Speak
• Sanskrit Basic Speak
• German Basic Speak

Projects

• Text-to-SQL + RAG Hybrid Router
  Python, from-scratch vector search, NL-to-SQL

  Hybrid retrieval system that routes natural-language questions to either text-to-SQL over a SQL database or semantic retrieval over unstructured documents, then merges results into one answer. Implemented vector search mechanics from scratch to demonstrate retrieval internals.

• Production-Grade RAG System
  Python, LangChain/LangGraph, Chroma, Weaviate, Gemini

  Retrieval-augmented generation pipeline with token-aware chunking, Chroma ingestion with citation metadata, hybrid BM25 plus dense retrieval using Reciprocal Rank Fusion, and cross-encoder reranking. Designed with a migration path from Chroma to Weaviate.

Courses & certifications

• Machine Learning Certificate · Coursera · 2025

🏆 Achievements & awards

• Solved 400+ LeetCode Problems · 2009

  Solved over 400 problems on LeetCode.

• CodeChef 2-star contest rating · 1996

  Reached a 2-star contest rating on CodeChef.

• Open-Source Contributor, GirlScript Summer of Code · 2026

  Selected as an open-source contributor for GSSoC.