About
Data-driven engineer passionate about extracting insights from complex datasets, designing algorithmic solutions and building production-grade systems.
Strong preference for structured thinking, rigorous documentation and understanding how things work under the hood.
Interests extend beyond technology into markets, venture investing and studying how enduring businesses are built and scaled.
Journey so far
Product Engineer
Aug 2025 – May 2026
- Led end-to-end engineering for Louis Polo's launch as a consumer brand, transforming a 10+ year OEM manufacturer into a modern D2C brand.
- Designed, developed, and deployed the company's production e-commerce platform, integrating authentication, payments, product management, media delivery, and cloud infrastructure.
ML & Research Head
Sep 2025 – Present
- Led the ML & Research vertical at FAAST, establishing quantitative finance and algorithmic trading as a core research pillar from the ground up.
- Conducted workshops on quantitative strategy development (SMA, EMA, MACD, ADX, Parabolic SAR) alongside historical backtesting, walk-forward analysis, and Monte Carlo simulation.
IIT Jammu
ML Intern
Jun 2025 – Jul 2025
- Implemented BERT-based transformer and LSTM/Seq2Seq encoder-decoder architectures across applied NLP workflows, evaluating model performance in real-world settings.
- Developed LLM-powered agentic workflows using CrewAI and the OpenAI Agents SDK, implementing multi-agent orchestration, tool calling, planning, and autonomous task execution.
Founder
Nov 2024 – Present
- Founded a technology consulting venture delivering end-to-end digital solutions for startups and SMBs, spanning D2C, healthcare, EdTech, and manufacturing.
- Delivered production-grade web platforms, AI systems, ERPs, LMS, and MVPs to clients globally.
Education
Bachelor's in Computer Science
Aligarh Muslim University
2022 – 2026
Relevant Coursework
Projects
- 04Full-Stack AI
Addictive Learning
Real-time competitive quiz game where two players race to answer AI-generated questions, best of 7 wins.
Research Papers
Quantum Kernel Methods for Portfolio Optimization
Indo Quantum Summit 2026
- Abstract selected for presentation at Indo Quantum Summit 2026, aligned with India's ₹6,003 Crore National Quantum Mission.
- Benchmarked QSVMs (ZZ/Pauli feature maps) against XGBoost, SVM, and Random Forest on NSE blue-chip portfolio data, achieving Sharpe ratio 1.48 vs. 1.20–1.42 for classical models, with 95% recall on 4 qubits at circuit depth 1, confirming NISQ-era feasibility.
Autonomous AI Agent for Analyzing Air Pollution Data
- Designed an autonomous agentic AI pipeline orchestrating data ingestion, preprocessing, forecasting, clustering, and classification to automate end-to-end air quality analysis.
- Integrated multiple ML models (Random Forest, XGBoost, K-Means, Prophet) into a unified decision workflow, enabling model selection based on analytical objectives and dataset characteristics.
Competitions & Hackathons
Winner, AMU Hackathon
Developed a full-stack Digital Fuel Management System for the campus fuel station.
- Slot booking with real-time queue status
- UPI payment integration
- QR-code pass generation
- Live stock analytics dashboard
4th Place, Footprints on Mars, Tryst'23, IIT Delhi
Proposed a Digital Twin simulation framework for Mars habitat management.
- Virtual modeling of life-support, energy, and resource systems
- Risk-free failure scenario testing for habitat operations
Stack
Skills & Technologies
Technologies I work with across languages, frameworks, databases, and infrastructure.
Languages
Frameworks & Libraries
Databases
AI & Automation
Tools
Others
Currently
Things I'm Exploring
AI & LLMs
Exploring intelligent systems, reasoning models, and human-AI collaboration at scale.
AgentsRAGFine-tuningFuture of Software
Understanding how AI is reshaping engineering workflows and what the developer looks like next.
AI DevToolsAutomationVibe CodingLabor Transformation
How AI changes knowledge work, leverage, and the nature of value creation.
Knowledge WorkLeverageFuture of WorkVenture & Startups
Studying how enduring businesses are identified early and compounded over time.
FoundersCapital Allocation0→1Markets
Equity markets, price discovery, incentive structures, and compounding capital.
EquitiesCompoundingIncentivesSystems Thinking
How feedback loops, emergence, and interconnection drive complex outcomes.
Mental ModelsFeedback LoopsEmergence
Thinking about intelligence,and Engineering Systems that matter.
From the desk
Writing
Software Development Is Changing
The way software gets built is shifting underneath us. The tools we reach for, the problems worth solving, and the expectations around speed are all in motion.
4 min read · May 2026
Why Understanding Systems Matters More Than Tools
Frameworks get deprecated. Syntax changes. The instinct to understand what's actually happening under the hood — that's what compounds.
4 min read · Mar 2026
Writing Compounds
Writing is the most underrated engineering skill. It sharpens thinking, creates leverage, and compounds over a career in ways that code alone cannot.
3 min read · Feb 2026
Human-AI Collaboration and the Future of Work
We're at the beginning of a shift in how knowledge work happens. The organizations and individuals who understand this early are positioning for significant leverage.
6 min read · Jan 2026
Beyond Code
AI
Intelligence and its implications.
Investing
Value, patience and compounding.
Markets
Price discovery and incentives.
Research
Rigor and curiosity.
Startups
Building and betting.
Writing
Clarity and leverage.
Coffee
The ritual of focus.
Let's Connect
Always interested in thoughtful conversations about AI, software, markets and building meaningful things.