Open to opportunities

Ojas Rajmane

@ojasrajmane

Message

I build LLM-powered assistants, retrieval systems, and full-stack applications.

India

Message

What I'm looking for

I'm looking to build production AI systems, LLM-powered products, retrieval pipelines, and full-stack applications while growing with collaborative engineering teams.

I've built LLM-powered enterprise assistants and vector-based retrieval pipelines at Happiest Minds Technologies, improving context-aware responses through RAG, prompt engineering, REST APIs, and n8n automation.

At KronoTech Labs, I worked on exploratory data analysis, preprocessing, machine learning model evaluation, parameter tuning, and visualizations that supported product decisions.

I built Unlovable, an AI platform that generates full-stack applications from prompts using LangChain and OpenRouter LLMs. I also implemented Redis-backed microservices, WebSockets, Next.js, React Native, PostgreSQL, AWS S3, and Docker for real-time planning and previews.

My projects also include a sentiment-aware recommendation engine and CivicPulse, a municipal issue-reporting platform with role-based workflows, REST APIs, image uploads, and real-time status tracking.

Experience

Work history, roles, and key accomplishments

AI & Automation Intern

Happiest Minds Technologies

Feb 2026 - Jul 2026 (5 months)

Developed AI powered enterprise assistants using RAG and LLMs for accurate, context aware responses. Engineered vector based retrieval pipelines and automated multi step AI workflows via REST APIs and n8n.

RAG LLM Prompt Engineering Vector Databases REST APIs N8n Agentic AI Python

Data Science Intern

KronoTech Labs

May 2025 - Dec 2025 (7 months)

Performed exploratory data analysis and preprocessing to derive insights for data driven prototypes. Contributed to ML model implementation and evaluation, and built data visualizations to support product decisions.

EDA Pandas NumPy scikit learn Matplotlib Plotly Data Visualization Machine Learning