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Rajas Bhingarde

Building ML systems that ship · NLP | Vertex AI | IoT+ML | LLMs · 93% accuracy spam classifier · Active Research Project ·

Mumbai

< 1 year of work experience

Vault of Code
Jun 20252 mosJul 2025

Integrated Mistral LLM (via Ollama) into an application workflow; built a structured response parser that automated task routing - eliminating an estimated 3-4 hrs/day of manual review.
VaultofCodes
Jun 20251 moJun 2025

Remote

Edunet Foundation
Apr 20252 mosMay 2025

Remote

CODTECH INTERNSHIPS
Dec 20242 mosJan 2025

Hyderabad, Telangana, India

CODTECH IT SOLUTIONS
Dec 20242 mosJan 2025

Developed NLP text classification pipeline (Word2Vec + GloVe, 93% accuracy) and built visual analytics dashboards for pattern analysis on unstructured text datasets.

Education

Lokmanya Tilak College of Engineering

Bachelor of Engineering - BE, Electrical (Minor in Blockchain)

Lokmanya Tilak College of Engineering

20215 yrs2026
University of Mumbai

Bachelor of Engineering - BE, Electrical (Minor in Blockchain)

University of Mumbai

20215 yrs2026

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Headline

Building ML systems that ship · NLP | Vertex AI | IoT+ML | LLMs · 93% accuracy spam classifier · Active Research Project ·

About

I build ML systems end-to-end from raw data to evaluated, documented, deployable pipelines. I'm a final-semester Electrical Engineering student at Lokmanya Tilak College of Engineering, Mumbai (graduating June 2026), with a minor in Blockchain Technology. Over the past year I've done 3 internships across AI, Data Science, and Azure ML not for the certificate, but because I wanted to work on real problems before graduation. What I've built: An NLP spam classifier using Word2Vec and GloVe embeddings,93% accuracy on 10,000+ messages, benchmarked across 5 classifiers, ~8% above TF-IDF baseline An IoT + ML cold storage system combining ESP32 sensor data with XGBoost forecasting, validated against real compressor dataplate specifications, part of active ongoing research in sustainable agricultural supply chains LLM workflow integrations using Mistral via Ollama, and hands-on projects with Gemini API, Multimodal RAG, and GenAI apps on Vertex AI, backed by 8 Google Cloud Skill Badges (3 at Intermediate level) On the competition side, I qualified through 3 rounds of Aavishkar 2025–26, Maharashtra's state inter-university research convention, reaching the district-level finals and earning a Merit Certificate in the Agriculture & IoT category. I'm not looking for a role where I run someone else's notebook. I want to work on problems where the data is messy, the pipeline doesn't exist yet, and the metric actually matters to a business. 📍 Dombivli, Maharashtra · Available from June 2026 · Open to remote, hybrid, and Pune/Mumbai in-person roles 📩 rajasbhingarde@gmail.com

Location

Mumbai

Work experience

Engineer Intern at Vault of Code, Jun 2025 - Jul 2025 · 2 mos, Integrated Mistral LLM (via Ollama) into an application workflow; built a structured response parser that automated task routing - eliminating an estimated 3-4 hrs/day of manual review.

AI and Prompt Engineering Intern at VaultofCodes, Jun 2025 - Jun 2025 · 1 mo, Remote

AI Intern at Edunet Foundation, Apr 2025 - May 2025 · 2 mos, Remote

Data Scientist at CODTECH INTERNSHIPS, Dec 2024 - Jan 2025 · 2 mos, Hyderabad, Telangana, India

Data Science Intern at CODTECH IT SOLUTIONS, Dec 2024 - Jan 2025 · 2 mos, Developed NLP text classification pipeline (Word2Vec + GloVe, 93% accuracy) and built visual analytics dashboards for pattern analysis on unstructured text datasets.

Education

Bachelor of Engineering - BE, Electrical (Minor in Blockchain), Lokmanya Tilak College of Engineering

Bachelor of Engineering - BE, Electrical (Minor in Blockchain), University of Mumbai

Rajas Bhingarde - Engineer Intern in Mumbai | Tal