Prakhar Shukla, software engineer of applied AI systems
Full-stack & applied AI engineer.
I build and ship software for high-stakes problems: fraud, scams, hallucinations. Backend, cloud and mobile, end to end, with live demos and public benchmarks. Shipped, measured, honest.
Trust is an engineering problem.
I build systems that earn it:
hallucination firewalls, scam honeypots,
deepfake detectors, fraud graph engines.
Every number here regenerates from code.
01 Selected work
Six systems that catch what slips past everyone else.
Sentinel
Cross-merchant fraud defense · 2026
Cross-merchant UPI fraud detection. An identity link graph catches recycled devices and VPAs between merchants, scores every event deterministically, and hands analysts evidence instead of a black box number.
Gatehouse
Autonomous fraud-defense agent · 2026
A household forwards any suspicious message to a team of AI agents that investigates it like a professional fraud analyst and escalates only genuine threats with court-grade evidence bundles.
Antares
Execution governor for autonomous AI agents · 2026
A runtime governor that stands between autonomous agents and your AWS account. Every mutating tool call is gated by deterministic code first, judged on escalation by a cross-vendor Bedrock quorum, and reversed through compensating sagas — models propose, code decides.
SignalGate
Agentic research-integrity gate · 2026
Candidate quant trading signals investigated like fraud cases. Statistical probes run as sandboxed tools, verdicts come with numeric receipts, and spurious signals die before they waste a researcher's hour. Recommends, never trades.
TruthLayer
AWS AIdeas, Global Top 50 of 10,000+ · 2026
A serverless firewall that intercepts LLM hallucinations before users see them. Five deterministic signals, 95.33% precision on 300 adversarial cases, $1.50 a month at 50K verifications.
ScamShield
India AI Impact Buildathon, Top 2% of 40,000+ · 2026
Autonomous agents engage scammers with adaptive personas, extract UPI IDs and bank details with 85-90% accuracy, and feed a live intelligence dashboard over 13 REST APIs.
Also shipped
Open all projects →02 Research
Comprehensive Deepfake Detection: A Comparative Study on Image and Video Forgery
Advanced Deepfake Image Detection: A Robust Framework using InceptionV3 and Xception
03 Writing
04 Recognition
05 Journey
Started B.Tech in CSE, RTM Nagpur University.
First shipped project: the school website, maintained for a year.
Went deep on deepfakes. First detector, then first paper.
IIT Delhi win, IEEE paper, journal paper, internship at Anishree Technologies.
Graduated at CGPA 8.79. AWS Global Top 50. Top 200 in India at Bharat Mandapam.
06 Lab
Things built because they had to exist.
07 Contact
Build something
worth defending.
Open to full-time roles and hard problems in applied AI, trust and safety, and systems that ship.





