Computer Science Engineer • Blockchain Specialist • AI/ML Researcher
PhD Candidate at NIT Srinagar (Deep Learning Optimizers). Founder & CEO of Last App Standing. Built multiple AI SaaS products (papers.support, bolt.surf, agentamiga.com). Former TCS Blockchain Intern.
I am a Computer Science Engineer with deep expertise in Blockchain, Artificial Intelligence, and Machine Learning. My journey spans from developing IoT systems and analyzing banking markets to conducting cutting-edge research in deep learning optimizers.
As Founder & CEO of Last App Standing and CPO at Ameron, I bridge academic research with real-world impact. My work on the KF-Conjugate Gradient Descent optimizer and multiple national-level qualifications demonstrate my commitment to pushing technological boundaries.
Strategic leadership for AI product studio. Built papers.support, bolt.surf, agentamiga.com, medinovaai.site, adai.site, lovedial.date, wisest.work. Directed technical roadmap, engineering teams, and AI SaaS deployment.
Led AI product releases, scope definition, cross-functional coordination, and quality assurance for timely launches.
Contributed to backend development, debugging, testing, and sprint planning for multiple AI platforms.
Product strategy, AI-driven financial analytics, roadmap planning, machine learning integration for trading and automation platforms.
Discovered & documented 120+ Solidity bugs in Ethereum smart contracts. Improved code quality significantly. Code updated in Remix IDE.
Working on advanced Deep Learning Optimizers (Non-Convex Optimization, KF-Conjugate Gradient Descent). Multiple UGC-NET qualifications, GATE, Reviewer for Elsevier & IEEE.
Advanced studies in Machine Learning, Analytics, Timeseries, Computer Vision, TensorFlow & PyTorch.
Foundation in Computer Science, IoT, Algorithms, Data Structures, DBMS, Compiler Design. Multiple internships (SBI, BSNL, Robosapiens).
Key public repositories and AI/ML projects. Full list at github.com/furqan-y-khan (75+ repos).
State-of-the-art optimizer. No overhead, robust as 2nd order, never overfits. Superior to ADAM & Nesterov-SGD.
View on GitHub →Analysis using SUMO, NS3, Tableau. Proposed futuristic traffic plan using AODV, DSDV and modern protocols.
View on GitHub →Selected achievements and research contributions
Won $5000 prize for innovative AI solution. Demonstrated exceptional machine learning capabilities.
State-of-the-art optimizer for deep neural networks. Significantly improves convergence rates.
Currently open to research collaborations, speaking opportunities, and blockchain/AI consulting.