Rolling green hills landscape

BUILDINGINTELLIGENTSYSTEMS THATSOLVE REALPROBLEMS

AI Agents
Software Engineering
Agent Security

— Not just algorithms.
i build intelligent systems
that solve real problems

Aegis preview
FASTAPI • MCP2026

AEGIS SECURITY

VIEW CASE STUDY
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About

I BUILD SYSTEMS
PEOPLE CAN RELY ON

I build practical software across AI agent security, high-performance browser tools, and urban simulation systems—turning complex distributed architectures into reliable, deterministic software.

Practical • Performant • Secure
Python / C / C++
Core Systems

Systems programming, asynchronous microservices, memory efficiency, and native bindings.

Agent Security
Zero-Trust AI

Deterministic policy evaluation, MCP protocol wrappers, risk scoring, and runtime governance.

Browser & WASM
Client Engines

WebAssembly execution, Chrome Extensions Manifest V3, Shadow DOM overlays, and real-time DOM scraping.

Agent Simulation
Urban Dynamics

Agent-based discrete event models, scenario generation, and statistical policy impact projections.

Green rolling hills and cloud landscape
Projects

PROJECTS THAT
SOLVE PROBLEMS

Focused implementations across AI runtime security, high-performance browser tools, and agent-based simulation architectures.

AI Security & MCP
Aegis
Explore Case Study
Aegis

Runtime Security & Governance for Autonomous AI Agents

WASM & Browser Ext
chessio
Explore Case Study
chessio

Real-Time Stockfish Analysis Overlaid on Chess.com & Lichess

Simulation & AI Modeling
Urban Policy Simulation
Explore Case Study
Urban Policy Simulation

Agent-Based & Statistical Urban Dynamics Modeling Platform

Services

WHERE I
CAN CONTRIBUTE

Technical areas where I build practical software, from agent security gateways to client-side WebAssembly tools.

AI Agent Security & MCP Tooling

Runtime guardrails, permission boundaries & deterministic policy engines

Architecting independent runtime security proxies that intercept agent tool calls. Evaluating prompt injection risks, data exfiltration attempts, and enforcing human-in-the-loop approvals before sensitive tools execute.

Model Context ProtocolDeterministic PoliciesZero-TrustRisk Assessment

Full-Stack & Systems Engineering

Scalable backends, asynchronous queues & responsive interfaces

Browser Tools & WebAssembly

Zero-latency client-side computation & non-intrusive overlays

Agent-Based Simulation & Modeling

Emergent multi-agent systems & spatial data evaluation

Autonomous Systems & Applied AI

Practical agent workflows grounded in verifiable logic

Engineering Approach

HOW I APPROACH
SOFTWARE & AI

Core technical philosophies distilled from building autonomous agent security, client-side WebAssembly engines, and urban simulation systems.

“Never trust the LLM alone for authorization.”

Security boundaries must be evaluated out-of-band by deterministic code, not by prompting the model to behave nicely.

Aegis Architecture
AI Security Principle
“Compute at the edge when milliseconds matter.”

Running WebAssembly locally in an offscreen browser worker removes network round-trips and guarantees zero server hosting overhead.

chessio Design
Performance Principle
“Simulate before you implement.”

High-stakes policy decisions and urban zoning choices must be tested against synthetic agent populations to catch unintended consequences.

Urban Policy Simulation
Systems Thinking
Resume & Experience

EXPERIENCE &
TECHNICAL BACKGROUND

Verified industry experience, undergraduate computer science education, and production-tested technical proficiencies directly from my official résumé.

bham0603@gmail.com+91 8092234412New Delhi, Delhi

Work Experience

Production platforms and industry software engineering

Criv Media•Full Stack Developer
Jun 2025 – Dec 2025 | New Delhi, Delhi
  • Built Employee Manager Final, a comprehensive workforce platform designed to streamline attendance, expenses, and payroll operations.
  • Developed cross-platform applications for both employees and administrators utilizing Flutter, Next.js, and TypeScript.
  • Implemented Supabase authentication, designed PostgreSQL data models, and integrated real-time updates with deployment-ready workflows.

Education

Undergraduate academic foundation

Guru Gobind Singh Indraprastha University

Bachelor of Technology - BTech

2023 – 2027
New Delhi, Delhi

Leadership & Extracurricular

Tournament administration & event direction

APAC Predator League 2026•Coach AdministratorJan 2026 | Bharat Mandapam, New Delhi

Served as a Coach Administrator, managing tournament operations and coordinating closely with international players and coaches from various countries arriving in India. Upheld strict competitive integrity, enforced rule regulations to ensure absolute fairness, and fostered a high-standard professional ecosystem for all global participants.

Vlr.Vortex 2.0•Lead OrganizerFeb 2026 | ADGPIS, New Delhi

Orchestrated an intercollege Valorant esports tournament, successfully managing registration, bracketing, and live match scheduling for approximately 200 participants. Directed tournament logistics, enforced competitive rulesets, and oversaw technical operations to deliver a seamless and engaging competitive experience.

Technical Skills Matrix

Categorized proficiencies from résumé

Languages
TypeScriptJavaScriptPythonC++JavaSQLHTML/CSSWebAssembly
Frontend & UI
Next.js (App Router)ReactTailwind CSSFlutterFramer MotionReactFlow
Backend & APIs
Node.jsRESTful APIsStreaming APIsServer ComponentsMiddleware
AI & Data Systems
Google Gemini APIRAG pipelinesVector EmbeddingsSemantic SearchGANs
Cloud & DevOps
Google Cloud Platform (GCP)VercelDockerGitHub WorkflowsGit
Databases & Auth
PostgreSQLSupabase (Auth, RLS, Realtime)Prisma ORM
Ready for hire
Full-time, contract, or projects
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FAQs

ANSWER BEFORE
YOU ASK

Common questions about technical stack, open-source code repositories, and work collaboration.

What core technologies and programming languages do you use?

I primarily work with Python (FastAPI, NumPy, AI/ML libraries), TypeScript/JavaScript (Next.js, React, Chrome Extension MV3, Node.js), C/C++, and WebAssembly. I also work extensively with Docker, Model Context Protocol (MCP), and Git.

Are your projects like Aegis and chessio open source?

How do you approach security for autonomous AI agents?

Can I test or run these projects locally?

What kind of roles or collaborations are you open to?