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Priyansh J
@priyanshjain29
AI and Tech Enthusiast
India
Inglese, Hindi
Chi sono
I'm a CSE enthusiast from NSIT(erstwhile DIT), passionate about tech and curious about new advancements. I love diving into AI, Web Dev and CP. I enjoy solving problems, building cool stuff, and learning. I’m hardworking, driven, and up for a challenge. I believe in giving back and love connecting with people who share the same tech energy!
Competenze
Priyansh J
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Lezioni di coding online
I will teach you dsa and leetcode problem solving
Integrazioni IA
I will enable webmcp to optimize your website for agentic ai search
Portfolio
Esperienza lavorativa
Technology Developer
UnitedHealth Group • Full time
Jun 2026 - Aug 2026 • 2 mos
• Secured 3rd Place Globally in UHG’s TDP SharkTank Hackathon (competing against top global talent) by building an AI system that generates EDI 837P claims from doctor conversations, cutting billions in operational costs. • Analyzed billions of records in the NHI triage ETL pipeline, detected high-impact data anomalies, conducted end-to-end root cause analysis, and identified upstream failures that informed critical business and engineering decisions. • Developed an AI-powered NHI Engineer that automatically analyzes incident tickets, performs root cause analysis across the ETL pipeline, identifies the source of failures, and generates detailed investigation reports for the assigned engineer, significantly reducing incident resolution time.
Ai and CyberSecurity Research Intern
DRDO • Full time
Nov 2025 - Feb 2026 • 3 mos
• Built an AI-assisted security patch diffing pipeline to analyze patched vs unpatched binaries, automating large parts of the vulnerability discovery workflow. • Performed reverse engineering and static analysis on 40+ Microsoft Windows security patches to identify vulnerable functions and develop proof-of-concept exploits. • Developed multi-agent AI workflows using LangGraph and LLMs to automate vulnerability analysis and technical report generation. • Reduced manual vulnerability investigation time by nearly 90% by converting several N-day vulnerabilities into potential 0-day insights.
