Software Engineer · AI and ML · Mumbai, India
I build software that ships: full stack web platforms, ML pipelines, computer vision systems, and blockchain infrastructure. Clean architecture, measurable results.
I'm Shaikh Nabil Ahmed, a Software Engineer from Mumbai specializing in AI and ML. I study Computer Science and Engineering at AIKTC, where I hold the highest CGPA in my department at 9.25 out of 10.
My engineering work covers full stack web platforms built with Next.js and TypeScript, ML pipelines using TensorFlow and PyTorch, blockchain infrastructure on Polygon and Solidity, and edge computing on Raspberry Pi. Two projects are peer reviewed and published: one in IEEE, one in IJCST.
Outside of engineering, I founded NeurOnyx, the ACM Student Chapter at AIKTC, and competed in eight hackathons across India. The most recent was the HackArena 2.0 Grand Finale at IIIT Delhi.
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Where I've shipped.
Zelosify Web Solutions Pvt. Ltd.·Remote
Sunsys Techsol Pvt. Ltd.·Remote
Engineered end to end. Shipped to production.
AI threat detection with blockchain trust layer
Challenge
WiFi spoofing attacks evade traditional detection, and centralized logging can be tampered with, making forensic analysis unreliable.
Impact
94 percent detection accuracy. Published in IEEE. Production grade ML combined with decentralized infrastructure.
Full stack carbon verification with on chain validation
Challenge
Carbon credit systems lack transparency and real time monitoring. Centralized verification is prone to manipulation.
Impact
Full stack platform spanning ML, web, and Web3. From data ingestion to blockchain verified credits.
Edge AI deployed on Raspberry Pi
Challenge
Railway inspection is manual, slow, and error prone. Running ML inference on hardware with limited compute is a hard constraint.
Impact
Real time edge inference on low compute hardware. Commended by the Thane Railway Section Engineer for practical deployment potential.
CNN ensemble for medical imaging
Challenge
Automated chest X ray classification requires high precision. Single model approaches lack robustness for medical applications.
Impact
Published in IJCST. Complete ML engineering lifecycle from research to deployed production API.
Peer reviewed research. Published and cited.
Ranked performance under pressure.
AIKTC ACM Student Chapter
Founded and led the institution's official ACM student division, driving technical bootcamps, workshops, and hackathons.
Smart India Hackathon
Led the development of a real time tracking solution, securing second place out of all internal campus teams.
Annual Technical Symposium
Designed and engineered an automated model submission pipeline, competing against teams across the region.
Regional Hackathon Series
Developed and pitched a decentralized edge computing project within a strict 36 hour timeframe.
IIIT Delhi Hackathon
Successfully reached and placed 3rd in the national finals hosted at IIIT Delhi, competing against top universities.
Annual Technical Symposium
Built and deployed a computer vision model on edge hardware, verified live in front of a jury panel.
Design and Development Hack
Co-created a web application prototype focused on developer productivity and system observability.
AIKTC Campus Technical Exposition
Awarded runner up for deploying TrackTech, a low cost edge AI railway crack detection system.
Technical Presentation Championship
Won first place for presenting complex machine learning architectures to a non technical jury audience.
Tools I ship with.
Contact
Open to roles, collaborations, and engineering problems worth solving.