Open to opportunities

Shadab Jamadar

@shadabjamadar

Message

I build AI agents, LLM systems, and scalable Python backend platforms.

India

Message

What I'm looking for

I'm looking to build practical AI products and scalable backend systems, especially involving LLMs, agentic AI, RAG, evaluation pipelines, and machine learning.

I've built AI-powered products including Curio, an agentic teaching system that automated five-plus teaching tasks and reduced teachers' manual workload by up to 40%.

At Criql Labs, I architected a unified Python algorithmic trading SDK integrating 19+ broker APIs and designed a broker-agnostic instrument data pipeline. At Renu Sharma Healthcare & Educational Foundation, I built the backend for an AI Interviewer platform, reducing backend errors by 25% and supporting 100+ concurrent users through secure OAuth2 authentication.

My work spans LLM evaluation, retrieval-augmented generation, agent workflows, FastAPI, Docker, and machine learning. I've also developed an Indian Sign Language recognition system achieving 92% gesture-classification accuracy and earned a Top 25 rank in Google Build & Grow AI Hackathon 2.0.

Experience

Work history, roles, and key accomplishments

Software Developer Intern

Criql Labs

Jan 2026 - Apr 2026 (3 months)

Architected a unified Python algorithmic trading SDK integrating 19+ broker APIs via a modular adapter architecture. Planned a broker-agnostic Instrument Master schema and ingestion pipeline in SQLite, normalizing broker-specific fields.

Python SQL API Design SQLite Poetry Testing Logging

Backend Developer Intern

Renu Sharma Healthcare & Educational Foundation

Jul 2025 - Dec 2025 (5 months)

Engineered end-to-end backend for an AI Interviewer platform, designing APIs, integrating databases, and implementing security protocols, reducing backend errors by 25%. Developed RBAC authentication with OAuth2.0 supporting 100+ concurrent users.

fastAPI Redis Docker RBAC API Design Security

AI Research Intern

Planto AI

Apr 2025 - Jun 2025 (2 months)

Led competitive analysis of 4 industry players, identifying product and technical gaps that informed roadmap decisions. Investigated AI pipeline bottlenecks and proposed optimisations, improving evaluation workflow processing time by approximately 12%.

Competitive Analysis Research AI Pipelines Optimization Reporting