Hi, I'mShadab Jamadar
Building AI products so humans can spend more time creating new problems.

Currently Building & Activity












AI Mock Interview Platform
FastAPI and Redis multi-container architecture. Designed and engineered role-based authentication and secure APIs supporting 100+ concurrent candidate sessions.
"Shipping teaches more than planning."
— Shadab Jamadar
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Professional Journey
Milestones and roles in software development, data science, and AI research that have shaped my technical approach.

Software Developer Intern
Criql Labs · Remote
- Built a unified Python algorithmic trading SDK integrating 3 broker APIs (Zerodha, Angel One, FivePaisa) using a modular adapter architecture.
- Designed a broker-agnostic Instrument Master schema and ingestion pipeline in SQLite, normalizing 100% of broker-specific instrument fields into a consistent data model.
- Implemented tests covering core trading workflows, added structured logging, and packaged the SDK with Poetry, enabling scalable onboarding of new brokers.

Data Science Intern
Renu Sharma Healthcare & Educational Foundation · Remote
- Engineered end-to-end backend for AI Interviewer platform, designing APIs, integrating databases, and implementing security protocols, reducing backend errors by 25%.
- Developed role-based authentication (admin, HR, student) with secure OAuth2.0 management, supporting 100+ concurrent users.
- Built a multi-container Docker setup with FastAPI and Redis, cutting startup time by 30% and enabling scalable infrastructure.
AI Research Intern
Planto AI · Remote
- Led competitive analysis of 4 key industry players (tech stacks, strategy, financials), uncovering 7 innovation gaps, improving Planto AI’s strategic planning effectiveness by 4%.
- Identified and resolved performance bottlenecks in core AI solutions, boosting processing speed by 15% and improving market positioning by 12%.
- Built research briefs summarising technical and market insights, enabling 15+ data-informed decisions across product and engineering teams.
Flagship Products
A selection of AI products and tools built end-to-end, solving real classroom, developer, and data-engineering challenges.
Curio - AI Co-Teacher
An Agentic AI system that autonomously handles 5+ core teaching tasks, reducing manual workload for teachers by up to 40%. Generates educational assets like quizzes, images, and summaries, and integrates real-time voice interaction using Gemini for live classes.

LLM Evaluation Pipeline
A deterministic evaluation pipeline measuring relevance, completeness, hallucination, and latency on 150+ queries. Features modular loader-metrics-aggregator workflows, embedding caching, and local inference for 25% faster batch executions.

Quantix - Algorithmic Trading SDK
A unified Python algorithmic trading SDK integrating Zerodha, Angel One, and FivePaisa broker APIs. Designed a broker-agnostic instrument master schema and sqlite ingestion pipeline that normalizes 100% of broker-specific fields.

My Technology Ecosystem
A collection of abilities I’ve honed to create, design, and solve problems.
Let's build something real.
Have a product challenge, research initiative, or interesting role? Let's connect and design AI that does useful work.
