About Me
AI Engineer and Full-Stack Developer with 4+ years of experience building production web applications, agentic AI systems, and intelligent automation pipelines. Specialized in LLM application development including multi-tool agentic orchestration, RAG-based knowledge retrieval using pgvector, structured output pipelines with forced tool use and JSON schema validation, multi-provider AI integration (Anthropic Claude, OpenAI, Google Gemini, xAI Grok), and streaming AI systems with SSE. Strong UI/UX sensibility applied to both consumer-facing products and human-in-the-loop AI interfaces. Experienced with workflow automation using Make.com for trigger-based AI pipelines. Equally strong on the full-stack side — building consumer-facing UIs in React and TypeScript, REST API design, real-time systems, payment pipelines, and cloud deployment on Vercel and AWS.
4+ years building agentic AI systems, LLM applications, and production web applications
Specialized in multi-tool orchestration, RAG with pgvector, and streaming AI systems (SSE)
Multi-provider AI integration: Anthropic Claude, OpenAI GPT-4o, Google Gemini, xAI Grok
Full-stack proficiency: React, Next.js, TypeScript, Node.js, Python, FastAPI
Production experience with Stripe Connect, real-time systems, and workflow automation
Cloud deployment expertise: Vercel, AWS (Lambda, EC2, RDS, CloudWatch)
Work Experience
AI Engineer
Whispering AI
- Contributed to architecting and deploying a production agentic coding assistant that reads and writes files directly to GitHub repositories via a two-phase planning/execution loop, with user-configurable model selection (Claude Sonnet 4, Opus, Haiku), temperature control, draft/ship modes, and per-request token cost tracking
- Contributed to building a multi-tool agentic chatbot with a 5-iteration tool-call loop, persistent session history, and custom tools — knowledgebase search, project portfolio search, and contact form triggering — deployed as a Supabase Edge Function with RAG-style retrieval using pgvector-backed JSON knowledge stores as the truth source
- Contributed to engineering an AI Assessment Report Generator using forced tool use (tool_choice) and server-side JSON schema validation to guarantee structured output, producing personalized reports with graded observations, prioritized recommendations, and ROI estimates
- Contributed to developing a streaming internal assistant with real-time SSE delivery, injecting live CRM data — milestones, backlog items, customers, sales leads, and team members — into context per request using a configurable AI directives system with drag-and-drop prompt management UI
- Contributed to building a multi-provider AI content generation system supporting Anthropic Claude, OpenAI GPT-4o-mini, and Google Gemini — with per-customer model, temperature, max_tokens, and top_p configuration, brand document injection, and email template context for HTML email body generation
- Contributed to implementing an AI-powered report generator using Claude with Gemini fallback, exponential backoff retry logic on API failures, and industry-specific context injection from a database-backed reference document system
- Contributed to designing and building an AI scaffold generator that takes a product intake form and outputs a complete project scaffold — tech stack, npm packages, PostgreSQL schema with RLS, API setup checklist, and sequenced build prompts — as structured JSON via forced tool use
Full-Stack Developer
CareerManzil
- Built responsive, consumer-facing web applications using React, TypeScript, and Vite, translating design specs into pixel-accurate, cross-device UI
- Developed and maintained reusable component libraries using Tailwind CSS and Shadcn/UI, establishing consistent design system patterns across products
- Integrated REST APIs into dynamic, data-driven UI workflows including JWT-based authentication, protected routes, and stateful user sessions
- Collaborated closely with designers and product stakeholders to translate wireframes and design specifications into responsive, production-ready interfaces, ensuring pixel-accurate implementation across breakpoints
- Contributed to performance optimization initiatives including lazy loading, code splitting, and bundle size reduction, improving page load times and Core Web Vitals scores across key user flows
Software Engineer – Platform & Reliability
Comprobase Inc.
- Owned observability and operational reliability for AWS-hosted customer-facing services, maintaining 99.99% uptime across EC2, RDS, CloudFront, and S3
- Built Python and Node.js automation for monitoring, alerting, and incident response pipelines, reducing mean time to resolution by 30%
- Authored technical runbooks and internal documentation improving Tier-1 resolution rates by 25%
AI Solutions Engineer & Advisor
FewCuts
- Contributed to building a viral moment detection pipeline using xAI Grok-4 with chain-of-thought reasoning, genre-specific prompt templates per content type, and sentence-level timestamp injection — producing confidence-scored clip candidates with separate reasoning token tracking
- Contributed to a speech-to-text transcription microservice using Groq Whisper (whisper-large-v3-turbo) with MD5-based disk caching to prevent redundant API calls, producing word-level timestamped transcripts for downstream processing
- Contributed to integrating pyannoteAI speaker diarization via async polling pipeline, attributing speech segments to individual speakers for multi-speaker caption rendering
- Contributed to architecting a Python FastAPI microservice pipeline for end-to-end video processing — transcription, diarization, viral detection, and TikTok-style caption burning via FFmpeg and ASS subtitle generation
Technical Skills
AI & LLMs
AI Engineering
Speech & Media AI
Frontend
UI & Components
Backend
Databases
Cloud & DevOps
Payments
Education
Master of Science in Computer Science
University of Texas at Tyler
Bachelor of Engineering in Computer Science
Osmania University
Certifications & Awards
Certifications
Microsoft Azure Fundamentals
Cyber-Data Foundations
University of Texas at Tyler
AWS Certified Cloud Practitioner
In Progress
Awards
₹100,000 R&D Grant — SoundTrap Project
Hyderabad City Police & Telangana State Government
2022