Agentic AI Engineer · Revenue Automation Architect
Full-stack agentic AI systems that replace manual GTM and RevOps work — not chatbot demos. I build the agents, automations, CRM integrations, and cloud infrastructure teams actually run in production.
Shipping systems that survive production.
From interfaces to infrastructure and data flows.
Open to professors, labs, universities, and technical writing.
Helping founders and leaders make architecture decisions faster.
Raising engineering standards through reviews, systems thinking, and guidance.
Turning messy, ambiguous problems into systems that ship.
Built Across Domains
About
I build the software and the agents that run on top of it. That means full-stack product work, CRM and GTM automation, the cloud infrastructure underneath — and, on the research side, quantitative finance.
5+
Years shipping
9
Roles
20+
Articles
I care about agents and automations that can survive production constraints and real CRM data, not just look convincing in a demo.
Pipeline, conversion, and cost-per-outcome matter as much as feature delivery—automation should move the metrics GTM and RevOps teams are actually measured on.
The work spans AI agents, workflow automation, CRM integration, agent-FTE systems, cloud delivery, and finance-aware product thinking.
As an aspiring PhD, I stay open to professors, labs, graduate pathways, and technical collaborations in AI and quantitative finance.
Strong collaboration matters whether the context is hiring, mentorship, technical advisory, or a startup shaping its next agentic AI or RevOps bet.
Open source, writing, certifications, and public technical profiles help make the work easier to evaluate before the first conversation.
Selected Milestones
Every item here links out to the record behind it: the scholarship, the contest leaderboard, the package on npm, the issued credential. Check any of them.
GitHub / npm / PyPI / LeetCode / Medium
Springer Nature / Mehran University Research Journal
WorldQuant University
Harvard CS50x
Career Journey
Nine roles, starting in frontend and ending up owning AI-enabled platforms end to end. The hackathons and the research work happened alongside the day job, not instead of it.
VentureDive
Senior Software Engineer
Dunzo
Business Automation & AI Engineer
WorldQuant University
Foundations of Financial Engineering Certificate
Digital Dividend Global
Software Engineer Level II
Digital Dividend Global
Software Engineer Level I
Star Marketing Pvt. Ltd.
Full Stack Engineer
Star Marketing Pvt. Ltd.
Frontend Engineer
Divine Virtuality
Software Engineer
Civar.com
Frontend Developer
Fiverr
Freelance Web Developer
Bahria University
Bachelor of Science in Computer Science
Services
Six lines of work, one throughline: systems that run without someone babysitting them. Agents and GTM automation sit at the front. Cloud, fintech, and Web3 engineering sit underneath.
RevOps
GTM &
2-6 weeks for pilot automation to production rollout
Service
Platform Modernization
2-6 weeks for focused modernization and workflow uplift
Swipe service lanes
01—09Focused starting points
Swipe focused services
Selected Work
Case studies drawn from production systems
5 shipped projects
A final-year project exploring smart tokens that enable buying, selling, lending, and time-bound trading of gaming assets with profit-sharing mechanics.
Domain
Gaming x Web3
Focus
Tokenized ownership
Stack
Smart contracts + web app
Stack
Migrated notification workflows to SQS, Lambda, and Firebase while improving backend reliability and pushing a large JavaScript codebase toward TypeScript and server-compatible React patterns.
Migration
180K lines affected
Delivery
Realtime + scalable
Stack
SQS / Lambda / Firebase
Stack
Modernized a legacy codebase into a clearer monorepo and microservice setup using Yarn workspaces, Turborepo, Docker, AWS SAM, and stronger development standards.
Setup time
80% faster
CI/CD
15 min saved
Scope
Platform modernization
Stack
Assistants that query backend systems, databases, and user-defined workflows, kept inside explicit operational constraints instead of improvising.
Capability
DB-aware workflows
Mode
Autonomous assistance
Focus
Grounded responses
Stack
Responsive web, mobile, and backend systems for a vehicle marketplace serving consumer and business traffic across products, services, and wholesalers.
Audience
100K+ users
Channels
B2C + B2B
Platforms
Web + mobile
Stack
Small, boring, useful. Packages on npm and PyPI that solve a problem I hit once and did not want to hit twice, published so nobody else has to solve it either.
Certificates prove you sat an exam, not that you can build. These are here because they are verifiable — Credly-issued, leaderboard-ranked, or scholarship-funded — so you can confirm them without taking my word for it.
1 courses · 7 certifications · 500+ problems solved
HeimdallAI
Prototype submitted · Deriv AI Talent Sprint
Hermes Nexus Enhanced Product Vision
Hackathon / challenge submission · AI Agent innovation sprint
CALICO Fall '25
22nd / 538 nationally · CALICO Fall '25
Foundations of Financial Engineering
WorldQuant University
Set Up a Google Cloud Network Skill Badge
Google Cloud
Optimize Costs for Google Kubernetes Engine Skill Badge
Google Cloud
Written after shipping the thing, not before. Next.js performance, production AI, cloud trade-offs, and the calls that turned out to be wrong.
Capabilities
Nothing listed here is aspirational. Each tool below has shipped in something a client or an employer paid for, and each one links through to the service line and the case study it came from.
Collaborator Feedback
Quotes are the weakest form of proof, so treat these as context. The case studies and the public code are what to actually check.
Tell me what is actually broken — the bottleneck, the workflow, the research question. You will get a straight answer about whether I am the right person, including when I am not.
Email or share a focused project brief
