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Senior Full Stack AI Engineer with 5.2 Years shipping production agentic systems.
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Senior Full Stack AI Engineer with 5 years shipping production agentic systems. Currently team lead at Evren AI architecting LangGraph-based platforms for US clients, including a live workplace mediation product in active pilot and a HIPAA-aware multi-agent financial assistant integrating 5 healthcare platforms.
Virtual University of Pakistan
BS · Computer Science
August 1, 2017 – June 30, 2021
Evren AI
Lead AI Engineer
November 1, 2024 – Present
India
DevHexa
Senior AI Engineer
January 1, 2024 – Present
India
Vareya
Full Stack AI Engineer
January 1, 2023 – October 1, 2024
India
Freelance
Full Stack Developer
April 1, 2021 – December 1, 2022
India
Common Ground: AI Workplace Mediation Platform
June 25, 2026 – Present
Architected a stateful LangGraph conversation engine handling intent classification, QoR routing, pgvector-based excerpt retrieval, and dynamic term-criterion mapping across structured multi-party mediation sessions protected by a real-time crisis detection gate (lexical + LLM classifier with fail-safe fallback) as a safety layer. Overhauled the memory system from LLM-paraphrased summaries to raw content storage, eliminating meaning drift across long sessions. The platform currently live in active pilot with real organizational users.
TrackRec: AI Sales Platform
June 25, 2026 – Present
Rebuilt the core matching intelligence from a rule-based pipeline to a fully LLM-powered semantic matching system, reasoning about candidate-role fit the way an experienced recruiter would; platform now serves 18,000+ verified sellers with a 50% reduction in recruiter hiring time and 94% one-year retention on hires. Engineered end-to-end resume parsing feature using LLM-based structured extraction of sales metrics (deal sizes, quota attainment, ICPs, territories) directly into candidate profiles, dramatically reducing manual onboarding friction.
Facial Track: AI Attendance & Classroom Monitoring System
June 25, 2026 – Present
Engineered a two-phase facial recognition pipeline using MediaPipe quality gating (blur, pose, liveness) for enrollment and dlib 128-dim euclidean distance embeddings for 1:N real-time batch identification, achieving 90%+ accuracy in live classroom conditions deployed on AWS EC2. Built a classroom capture client posting webcam frames every 3 seconds to a server-side batch recognition endpoint, with APScheduler background jobs auto-managing sessions from timetable data. Live at University of Lahore.
AWS Certified Generative AI Developer
AWS
November 1, 2025 – Present
AWS Certified Machine Learning Engineer
AWS
August 1, 2024 – Present
Agentic AI Developer
PIAIC
January 1, 2023 – January 1, 2025
Professional Certificate in Machine Learning & AI
MIT
September 1, 2021 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio across workplace mediation, sales, and classroom monitoring, combined with experience in healthcare, enterprise, and B2B domains, indicates adaptability and a broad interest in applying AI solutions. Their rapid progression from frontend to full-stack AI development and leadership roles suggests a proactive and growth-oriented mindset. The experience with US and European clients, along with leading cross-functional teams, demonstrates strong collaboration and communication skills vital for a dynamic work environment. The certifications further highlight a commitment to continuous learning and staying current with industry trends.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, project ownership, and client-facing communication skills, essential for a senior role. Their ability to independently deliver complex systems and mentor teams indicates excellent operational fit. The focus on real-world impact and problem-solving (e.g., reducing recruiter hiring time, eliminating meaning drift) suggests a results-oriented approach. The experience with HIPAA-aware systems also points to an understanding of critical compliance and security considerations.