I'm an AI Agent Architect and Machine Learning Engineer specializing in building intelligent automation systems, multi-agent frameworks, and immersive 3D web experiences. My expertise lies in Python, n8n workflow automation, RAG pipelines, and creating production-ready AI solutions.
With a proven track record of winning major ML and AI hackathons, I transform complex AI concepts into scalable, real-world applications that deliver measurable impact.
- π Studying B-Tech Computer Engineering at NMIMS University
- π IIT Kanpur ML Hackathon Winner (βΉ1,25,000)
- π€ Fetch.AI Agentic AI Hackathon Winner (βΉ50,000)
- π₯ 2Γ Google Developer Student Club Winner
- π° βΉ1.75+ Lakh earned from ML & AI hackathons
- πΊ YouTube Creator with 145K+ subscribers on tech & AI automation
- π± Instagram Growth Expert - Scaled AI automation page to 22K followers in 3 months
AI & Machine Learning:
- Multi-Agent Systems: CrewAI, AutoGen, LangChain, Fetch.ai Agents
- LLM Integration: GPT-4, Claude, Groq, Mistral, Gemini Pro, Function Calling
- RAG Pipelines: Vector Databases (Pinecone, FAISS), Semantic Search, Document Intelligence
- ML/DL Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn
- NLP & Computer Vision: NLTK, spaCy, Hugging Face, OpenCV
Automation & Workflow Engineering:
- n8n Workflow Automation - Expert in building complex AI-powered workflows
- Python Automation - Data pipelines, API integrations, scheduled tasks
- AI-Powered Business Process Automation
Full-Stack Development:
- Backend: Python (Flask, FastAPI), Node.js, Express.js, REST APIs
- Frontend: React.js, Next.js, TypeScript, Tailwind CSS
- 3D Web Development: Three.js, React Three Fiber, WebGL, OGL, GSAP, Lenis
- Databases: PostgreSQL, MySQL, Supabase, MongoDB, Vector DBs
Languages & Tools:
Python Β· JavaScript Β· TypeScript Β· C++ Β· SQL Β· Git Β· Docker Β· Vercel Β· AWS
| π Competition | π’ Organizer | π° Prize |
|---|---|---|
| ML Hackathon | IIT Kanpur | βΉ1,25,000 |
| Agentic AI Hackathon | Fetch.AI @ IIT Kanpur | βΉ50,000 |
| GDSC Hitnext | NMIMS | 1st Place |
| GDSC Solution Challenge | NMIMS | 1st Place |
Content Creation:
- π₯ YouTube: [The Hackers Choice] - 145K+ subscribers
- π± Instagram: [Nine.agents] - 22K followers (grown in 3 months)
Voice-Enabled AI Business Agent Platform (2025)
- Full-stack platform for deploying AI-powered voice call agents with real-time interaction
- Built 6-step onboarding, multi-model AI pipeline (GPT-4o-mini, Deepgram, 11Labs, VAPI)
- Automated workflows using n8n, reducing setup time by 70%
- Tech: React, Vite, Supabase, Clerk, n8n, VAPI, GPT-4o-mini
Market Muse AI β Multi-Agent Marketing Workspace (2025)
- Integrated 9 specialized AI agents for SEO, lead generation, ad creation, campaign management
- Built token-based billing system with Supabase realtime backend
- Improved automation efficiency by 75%, reducing manual effort by ~80%
- Tech: React, Supabase, n8n, Groq (LLaMA-4), Mistral Cloud, Gemini Pro
DreamRender AI β Visual Automation Platform (2024)
- AI system generating psychology-optimized ad graphics with 10+ artistic variations in <3 minutes
- Applied conversion psychology (color theory, typography, mobile-first design)
- Boosted CTR by 3.2x, eliminated ~90% of manual design effort
- Tech: React, n8n, OpenAI, Google Drive API
Atcon Global β Modern Corporate Website (2025)
- Futuristic corporate website with immersive 3D visuals, glassmorphism, scroll-based animations
- Custom WebGL shaders with OGL, dynamic motion using GSAP + Lenis
- Achieved 35% faster render performance with highly responsive, immersive UI
- Tech: Next.js, Tailwind CSS, WebGL, OGL, GSAP, Lenis, React Three Fiber, Three.js
Making The Difference β NGO Management Platform (2025)
- Complete NGO operations platform: volunteer coordination, donation tracking, analytics
- Automated reporting, PDF generation, multi-authentication
- Improved administrative efficiency by 65% with real-time transparency
- Tech: Next.js, Tailwind CSS, Radix UI, Supabase, Firebase Auth, Recharts, jsPDF
Data Analyst Intern - Internet Coaching Empire (May 2024 - Sep 2024)
- Cleaned and analyzed sales/user data using Python & Pandas, improving data accuracy by 28%
- Designed interactive dashboards enabling 15% higher retention through data insights
- Automated weekly reports via n8n workflows, reducing manual time by 80%+
- π€ Advanced Multi-Agent AI Systems using CrewAI, LangChain & Fetch.AI
- π Production RAG Pipelines with vector databases for enterprise applications
- π¬ Intelligent Chatbots with context-aware responses and memory systems
- π¨ Immersive 3D Web Experiences pushing the boundaries of WebGL & Three.js
- π Complex n8n Automation Workflows for AI-powered business processes
- π ML-Powered Analytics Platforms for predictive insights
"Why manually do in 8 hours what you can automate with n8n in 30 minutes...
and then spend 7.5 hours debugging why the automation doesn't work?" π€
Building AI agents so intelligent, they might automate me out of existence.
Until then, I'll keep training them. π§ β‘
