Hi, I'm Sriram!
Full Stack Developer
Building scalable cloud, web, and mobile applications with React, TypeScript, and modern cloud architecture.
Open to Full Stack & AI engineering roles — AI-enabled SaaS, healthcare, and developer tools.
Hi 👋 I'm Sriram's AI assistant. Don't just read the resume — ask me anything about his experience, projects, or how he works. I can even pass a message along to him.
Production AI in healthcare
Shipped LLM chat, live scribe & RAG documentation agents used daily in a HIPAA-compliant clinical platform.
~50% cloud cost reduction
Migrated containerized microservices from GKE → Cloud Run with automated GitHub Actions CI/CD.
Full-stack & mobile, end to end
Built HIPAA-compliant web portals and React Native apps shipped to the App Store and Play Store.
About
About Me
Impact-driven engineer focused on clarity, performance, and security.
Full Stack Developer with 6+ years of experience building scalable web and mobile applications. Expert in modern TypeScript ecosystems including React, Next.js, Node.js, and NestJS. Proven track record in healthcare technology, AI integration, and enterprise security systems.
Passionate about clean architecture, performance optimization, and security-first development. Successfully delivered 50+ projects ranging from ML-powered applications to real-time chat systems with RSA encryption. Strong expertise in cloud platforms, mobile development (React Native, Flutter, Android), and modern DevOps practices.
Skills
Frontend & Mobile
Backend & APIs
Cloud & DevOps
AI & Real-time
Experience
Atelia Software Inc. — Jun 2021 - Present
Full Stack Developer - Healthcare Technology Platform
Building a HIPAA-compliant healthcare platform with real-time clinical AI — from RAG documentation agents to ~50% cloud cost savings.
- Real-time Clinical AI: Streamed live doctor-patient sessions over native WebSockets with AI-driven clinical suggestions; shipped LLM chat, live scribe, and RAG-based documentation agents used daily in production.
- AI Pipelines: Built prompt engineering, embeddings, and pgvector retrieval to orchestrate multi-step agentic reasoning, improving suggestion relevance.
- Full-Stack & Mobile: Built HIPAA-compliant patient, doctor, and hospital portals with React, React Native, Node.js, and NestJS; led Flutter → React Native migration and shipped BLE-enabled apps to the App Store and Play Store.
- Cloud & Cost Optimization: Migrated containerized microservices from GKE → Cloud Run, cutting infrastructure costs ~50%; deployed on Cloud Run, Firebase Hosting, Cloud IAM, and managed PostgreSQL with automated GitHub Actions CI/CD.
- Reliability & Mentoring: Built fault-tolerant services (structured logging, retries, graceful degradation), tuned PostgreSQL for low-latency RAG, and mentored engineers on code review and CI/CD practices.
Eficens Systems LLC (Flair Technologies) — Mar 2020 - May 2021
Full Stack Developer
Built a full-scale staffing CRM from the ground up — payroll, invoicing, and secure RBAC across dev, stage, and prod.
- CRM Platform: Engineered a full-scale CRM covering payroll, timesheets, placements, invoicing, onboarding, and document workflows with React, Material UI, Redux, and Firebase.
- Performance: Built 40+ reusable React components and cut UI load times by 30% via memoization and selector-based state management.
- Backend & RBAC: Developed payroll, margin, and tax logic with Node.js, Express, and Firebase Cloud Functions; implemented secure RBAC with Firebase Auth and Firestore rules.
- Quality & CI/CD: Resolved 150+ production defects and enhanced CI/CD with Firebase Hosting and GitHub Actions across dev/stage/prod.
Projects
A mix of production work and side projects — from this RAG-powered AI assistant to end-to-end encryption and IEEE-published ML research.
AI Portfolio — this siteproject links
The AI assistant on this page answers questions about my work using RAG: Pinecone vector search over my resume with Google Vertex AI (Gemini) for generation, plus an agentic tool that can email me directly from the chat. Built on Next.js 15 with streaming responses and rate limiting.
End-to-End Encrypted Chatproject links
Real-time 1:1 chat with true end-to-end encryption — a fresh AES-GCM key per message, wrapped to each participant's RSA key, all generated in the browser via the Web Crypto API. The server only ever stores ciphertext (every message has a 'show ciphertext' toggle to prove it). Built on Next.js + Convex for realtime, with Better Auth (Google/GitHub).
Evenly — AI Grocery Bill Splitterproject links
Scan a grocery receipt, split it item-by-item, and share each person's exact total. Gemini 2.5 Flash on Vertex AI extracts the line items into a structured schema; a pure, unit-tested, integer-cent split (largest-remainder) guarantees every per-person total sums back to the receipt — no lost or extra pennies. Native iOS + Android via Expo on Convex, with Better Auth and a biometric launch gate.
peekdiff — Private-repo Diff & PR Reviewproject links
A fast, virtualized GitHub diff and code-review tool for private repositories, built on the open-source DiffsHub viewer. I built the auth and review layers on top: private-repo access via a GitHub OAuth App where diffs are fetched client-side straight from the GitHub API, so private source never touches the server; a full inline review flow (threaded comments, GitHub-flavored markdown, batched Approve / Request-changes / Comment submit); and per-file and per-folder 'viewed' tracking synced both ways with GitHub over GraphQL. Built on Next.js 15 + React 19.
Penny — Notes-first Expense Trackerproject links
A local-first expense tracker where you log spending the way you'd jot a note: type "coffee 6.50, uber to airport 32" and Penny turns it into structured, categorized expenses. A parser service uses the Vercel AI SDK's schema-validated structured output (generateObject + zod) with a swappable model (Claude Haiku 4.5 on Bedrock by default), shipped as a single AWS Lambda. The Expo app stores everything on-device with SQLite + Drizzle and falls back to an offline parser, so it works with zero setup.
Cotton Leaf Disease Classifierproject links
Deep-learning computer vision for cotton-leaf disease identification. Benchmarked four transfer-learning CNNs (ResNet50, VGG19, InceptionV3, ResNet152V2); ResNet152V2 reached 98.36% accuracy. Published at IEEE (ICISSGT 2021) and cited by 27 papers.
Education
🎓 Kennesaw State University
MS in Computer Science — GPA: 3.83/4
Advanced coursework in software engineering, algorithms, and data structures. Focus on modern web technologies and cloud computing.
🎓 Sasi Institute of Technology and Engineering
BTech in Computer Science — GPA: 9.59/10
Top 1% of graduating class. Strong foundation in computer science fundamentals, programming languages, and software development.
Certifications & Awards
🏆 HackerRank Certificates
Node.js, React, SQL, REST API
Certified in multiple programming domains with strong problem-solving scores.
🥈 IEEE Xtreme Competition
All India Rank 62
Top 100 nationally in prestigious 24-hour programming competition among 4000+ participants.
💻 Open Source Contributions
50+ GitHub repositories, TypeScript & Node.js expertise
Active contributor to open source projects with focus on modern web technologies and developer tools.