Vikash Sharma • VikashShip vikashship

Identity

const vikash: Engineer = {
  name        : "Vikash Kumar",
  role        : "Full Stack & React Native Engineer | Software Engineer @Sewacity",
  education   : "B.Tech CSE-IoT @GEC Siwan, Bihar | May 2026 | CGPA: 7.48",
  available   : true,
  targeting   : ["SDE-1", "Full Stack", "React Native", "Backend", "AI-Integration"],

  production : {
    company      : "Sewacity Technologies Pvt Ltd",
    role         : "Software Engineer — May 2026 to Present",
    users        : "10,000+",
    transactions : "2,000+ / month",
    playStore    : "https://play.google.com/store/apps/details?id=com.sewacity.sewacity",
    reliability  : "+40% payment success via Razorpay webhook orchestration",
    security     : "-60% unauthorized access via JWT/RBAC + rate limiting + DDoS",
    failures     : "-30% payment failures via retry logic + reconciliation",
    integrity    : "100% transaction integrity via server-side HMAC-SHA256 verification",
  },

  rider_module : {
    status       : "Production — May 2026 to Present",
    app          : "React Native (Expo EAS) + Node.js/Express backend",
    database     : "MySQL with Sequelize ORM + Haversine geospatial dispatch",
    scheduling   : "BullMQ repeatable jobs for shift reminders (Redis-backed)",
    ai_chat      : "SevaSaathi — 5-provider fallback (Cerebras → Groq → Gemini → OpenRouter → Cloudflare Workers AI)",
    i18n         : "Centralized language preference system",
    apk          : "https://drive.google.com/file/d/1aj862cX7lh-GpC9-WTjROHragQtl3g7b/view",
  },

  stack : {
    languages  : ["TypeScript", "JavaScript", "C++", "HTML", "CSS", "SQL", "NoSQL"],
    frontend   : ["React", "Next.js", "Tailwind CSS", "shadcn/ui", "Zustand", "Redux"],
    backend    : ["Node.js", "Express.js", "REST APIs", "BullMQ", "Sequelize ORM", "JWT/RBAC"],
    mobile     : ["React Native", "Expo EAS", "Firebase OTP", "AAB/IPA signing", "TestFlight"],
    database   : ["MySQL", "MongoDB", "Redis", "PostgreSQL", "Supabase", "GridFS"],
    cloud      : ["AWS EC2/S3/Route53", "Docker", "NGINX", "PM2", "CI/CD"],
    ai         : ["MCP Protocol", "LLM SDK Integration", "Multi-Provider Fallback", "Claude AI"],
  },

  dsa         : "400+ problems | C++ | LeetCode + GeeksforGeeks + Codeforces",
  hackathons  : ["IIT BHU Shilp'24 - 2nd Place (50+ teams)", "TechKshitiz GEC Siwan - 1st Place"],
  leadership  : "Technical Team Lead @Codex Club, GEC Siwan — 20 months",
  vision      : "SDE-1 → Senior Engineer → CTO / Technical Co-Founder",
};

AI-Native Engineering

Not a chatbot wrapper. Real architectural integration of AI and LLM reasoning into production systems via MCP Protocol - the same pattern powering Claude, Cursor, and next-gen AI tooling.

  User Input  →  LLM (Claude/GPT)  →  MCP Protocol  →  Tools / APIs / DB / IoT  →  Result
      │                │                    │                     │                     │
   Natural         Reasoning            JSON-RPC 2.0         MongoDB • Redis        Structured
   language        over live            Tool contracts        RFID • REST             output back
   prompt          context              (Host→Client→Server)  Sensors • GridFS       to product UI

My AI Integration Stack

How I use each tool in my actual workflow:

Claude AI - architecture decisions, writing technical documentation, code review, system design walkthroughs, and MCP server implementation. I don't use it to write code blindly - I use it to think through design tradeoffs before touching the keyboard.
ChatGPT - quick syntax fixes, exploring multiple approaches to the same problem, rubber-duck debugging on unfamiliar APIs, generating test cases.
GitHub Copilot - in-editor code completion, reducing boilerplate in repetitive patterns (route handlers, schema definitions), and surfacing API signatures mid-flow.
Antigravity AI Editor - AI-native editor for faster development loops with embedded LLM assistance.

MCP in production (Academic Management System):

// MCP Server: academic-intelligence
// Architecture: Host (Claude) → MCP Client → MCP Server → MongoDB + RFID sensors
// Transport: JSON-RPC 2.0 over stdio

const tools = [
  {
    name: "get_student_recommendations",
    // LLM receives live student context → reasons → returns structured suggestions
    // Zero prompt leakage. Typed contracts. Auditable tool calls.
  },
  {
    name: "analyze_performance_patterns",
    // Connects LLM reasoning to MongoDB aggregation pipelines directly
  }
];
// Result: AI-powered personalized resource recommendations running in production
// User → LLM → MCP → MongoDB + RFID → Personalized response

Production Impact - Sewacity Technologies

Metric	Result	How
Users Served	10,000+	Web platform + React Native app (Play Store)
Monthly Transactions	2,000+	Razorpay payment pipeline
Payment Reliability	+40%	Webhook orchestration + retry logic + idempotency
Order Growth	+36%	Latency-optimized REST APIs + geo-aware backend
Unauthorized Access	-60%	JWT/RBAC + rate limiting + DDoS safeguards
Payment Failures	-30%	Failure reconciliation layer + dead-letter logging
Transaction Integrity	100%	Server-side Razorpay HMAC-SHA256 verification
GitHub Contributions	2,132	Last 12 months - consistent daily engineering

Tech Stack

Languages

Frontend

Backend

Database

Mobile (React Native)

Cloud, DevOps & Infrastructure

Developer & Productivity Tools

Figma: I read and implement designs, convert component specs to production-ready code. Design creation is not my primary strength - shipping designs as pixel-accurate components is.

Featured Projects

Sewacity Mobile App - iOS + Android

Production React Native app - 10K+ users, 2K+ monthly orders. Redux state, Firebase OTP auth, server-side Razorpay verification, real-time order tracking, geo-location. Expo EAS builds with AAB signing (Play Store) and IPA distribution (Apple Dev Console + TestFlight).

SafeExec - Enterprise RCE Platform

Secure open-source Remote Code Execution platform. Every execution runs in an isolated Docker container - no shared state. Redis job queue for scalable throughput. Multi-language support (Python, JS, Java, C++, C#, Go). Swagger UI docs. Built for exam platforms, hiring tools, online judges.

Contest & Event Management Platform

Built for TechKshitiz, GEC Siwan - ran a live contest for 300+ students simultaneously in production. Automated seating assignment, participant verification, integrated code editor, real-time test workflows. Designed to scale to institutional exam bodies.

Academic & Library Management System (AI + IoT)

Campus management with RFID automation, MCP-based LLM recommendation engine, layered RBAC, coursework workflows, scheduling, and digital repository. Real MCP server implementation connecting LLM reasoning to live MongoDB + IoT sensor data.

MongoDB GridFS Bucket System

Open-source file storage API on MongoDB GridFS. Store, stream, and manage large files via a clean REST interface. Documented and production-ready. Solves the S3-overkill problem for small-to-medium file management.

Portfolio v3 - Production SPA

React.lazy() on 13 components, JSON-LD structured data, SEO via react-helmet-async, Google Search Console verified, Lighthouse-optimized LCP/FCP. Live MCP/AI architecture diagram with animated data flow. Branch: feat/full-portfolio-v3.

Engineering Philosophy

  Problem → Decompose → Data Model → API Contract → Security Layer → Fault Paths → Ship

  Real example @Sewacity - Razorpay Webhook Reliability
  ──────────────────────────────────────────────────────
  Problem  : Payment status inconsistency - client-side verification unreliable
  Root     : No idempotency, no retry on failures, no reconciliation job
  Solution : Server-side HMAC-SHA256 signature verification
             + Idempotency key per webhook event
             + Redis retry queue with exponential backoff
             + Cron-based failure reconciliation job
             + Dead-letter log for manual audit trail
  Result   : +40% transaction success, -30% failures, 100% integrity

GitHub Analytics

DSA

Achievements

_{50+ competing teams - full-stack solution under time pressure}	_{GEC Siwan - led and won the hackathon}	_{TechKshitiz org, GEC Siwan}
		_{DNS, SSL, production server management}

What I Bring to Your Team

Funded Startups (Seed / Series A)

Full stack from mobile to infra. Built for 10K+ users as a solo contributor. I don't wait for tickets - I find bottlenecks, scope the fix, and ship. Built for early-stage velocity where every engineer counts.

MNCs and Product Companies

Security-hardened APIs, event-driven design, fault-tolerant webhook systems. Docker, AWS, CI/CD, NGINX in production. Strong DSA foundation (400+ problems). Code that survives proper code review.

AI-First Products

I understand MCP protocol architecture end-to-end - not just API calls. I've shipped LLM-driven features in production with real data contracts and typed tool schemas. No brittle prompt hacks.

Currently

  Open for     →  SDE-1 / Full Stack / React Native / Backend roles
  Shipping     →  Rider module (RN app + backend) — production at Sewacity
  Building     →  SevaSaathi AI chat (5-provider free-tier LLM fallback chain)
  Leading      →  Junior developer team — architecture + implementation direction
  DSA          →  Medium → Hard (Graphs, DP, System Design)
  Vision       →  SDE-1 → Senior Engineer → CTO / Technical Co-Founder

Connect

Open to SDE-1, Full Stack, React Native, and Backend roles at startups and product companies.

_{Vikash Sharma - Built with intent. Every commit ships toward production.}

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