Rushikesh Muneshwar profile photo 1 on Tal

Rushikesh Muneshwar

AI/ML Engineer & Full-Stack AI Developer · RAG Systems | Computer Vision | FastAPI · CDAC Intern · IIIT Raichur

Hyderabad

< 1 year of work experience

CDACINDIA
Mar 20257 mosSep 2025

Bengaluru, Karnataka, India

Built a full-stack IoT Device Management System using React.js, FastAPI, PostgreSQL, and Docker — covering device dashboards, RESTful API design, authentication modules, and telemetry handling. Designed reusable React components and optimized state management for front-end responsiveness; architected backend services for device registry in FastAPI with PostgreSQL data layers. Served as Lab Incharge for 75+ students on Python and Machine Learning coursework, resolving 100+ technical queries/month while maintaining 95%+ lab uptime. Skills: FastAPI · React.js · PostgreSQL · Docker · Machine Learning · REST APIs · Python

Rushikesh’s AI Stack

antigravity
antigravity
claude
claude
cursor
cursor
deepseek
deepseek
gemini
gemini
github copilot
github copilot

Education

Indian Institute of Information Technology, Raichur

Bachelor of Technology - BTech, Computer science and engineering

Indian Institute of Information Technology, Raichur

20214 yrs2025

HSC, Science

Bright Future junior College of Science , Bodhegaon

20201 yr2021

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Headline

AI/ML Engineer & Full-Stack AI Developer · RAG Systems | Computer Vision | FastAPI · CDAC Intern · IIIT Raichur

About

I build end-to-end AI systems — from data pipelines and ML models to FastAPI backends and React frontends — with a focus on making them production-ready. At CDAC Bangalore, I developed a full-stack IoT Device Management System (React.js + FastAPI + PostgreSQL + Docker) and mentored 75+ students on Python and ML coursework. Before that, I collaborated with Bosch Global Software Technologies on a Breast Cancer Detection System using ensemble ML and medical imaging. My recent projects include: • An AI Hiring Assistant — RAG-based resume screening platform with FAISS vector search, 90%+ field extraction accuracy, and Docker deployment • A Customer Churn Prediction Pipeline — LightGBM/XGBoost with SHAP explainability, served via FastAPI • A Skin Disease Detection System — CNN pipeline on 15K+ dermatology images with automated ETL I'm actively exploring opportunities in AI/ML Engineering, Full-Stack AI Development, and Data Science. If you're hiring or know of relevant openings, feel free to connect. 📧 rushikeshmuneshwar2@gmail.com | 🌐 rushikeshmuneshwar.in

Location

Hyderabad

AI stack

antigravity

claude

cursor

deepseek

gemini

github copilot

Work experience

Intern at CDACINDIA, Mar 2025 - Sep 2025 · 7 mos, Bengaluru, Karnataka, India, Built a full-stack IoT Device Management System using React.js, FastAPI, PostgreSQL, and Docker — covering device dashboards, RESTful API design, authentication modules, and telemetry handling. Designed reusable React components and optimized state management for front-end responsiveness; architected backend services for device registry in FastAPI with PostgreSQL data layers. Served as Lab Incharge for 75+ students on Python and Machine Learning coursework, resolving 100+ technical queries/month while maintaining 95%+ lab uptime. Skills: FastAPI · React.js · PostgreSQL · Docker · Machine Learning · REST APIs · Python

Education

Bachelor of Technology - BTech, Computer science and engineering, Indian Institute of Information Technology, Raichur

HSC, Science, Bright Future junior College of Science , Bodhegaon

Public links

github: https://github.com/Rushikesh-hub

leetcode: https://leetcode.com/rushikesh_muneshwar

rushikeshmuneshwar.in: https://rushikeshmuneshwar.in/

Rushikesh Muneshwar - Intern in Hyderabad | Tal