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Final-year B.Tech IT student turned production-focused engineer, building GenAI, RAG, and full-stack systems that go past the notebook and into working software.

I'm a results-driven engineer with a passion for building intelligent systems that solve real-world problems. My journey spans from competitive programming to shipping multi-agent AI pipelines, RAG platforms, and full MERN-stack applications.

• 📈 300+ DSA Problems Solved — Python (262), Java (103), MySQL (11) on LeetCode
• 🤖 19 GitHub Repositories — AI/ML, GenAI agents, and full-stack applications
• 🎖️ 5 Certifications Earned — AWS, Data Engineering, AI, Graph Theory, Networks
• 💡 4 Flagship Production Projects — Documented, deployed, and demo-ready

Enterprise-grade multi-agent AI platform built as an explicit state machine, not a black box

🧩 Architecture:
├─ Planner agent → breaks down the task
├─ Researcher agent → gathers context from docs & live tools
├─ Tool Executor agent → runs actions against real systems
├─ Critic agent → reviews and validates outputs
├─ FastAPI backend + Next.js frontend
├─ Fine-tuned Mistral-7B served via vLLM
└─ LiteLLM fallback routing (in progress)

Tech: Python | LangGraph | FastAPI | Next.js | Mistral-7B | vLLM | PostgreSQL | Alembic 🔗 Repository

Desktop AI companion with voice control & system automation

🎤 Features:
├─ Wake-word detection ("Hey Athena")
├─ Siri-style animated globe UI
├─ Neural voice synthesis (Microsoft Aria)
├─ App launching & file management
├─ Smart alarms & reminders
├─ Weather integration (Open-Meteo)
└─ Document generation via voice

Tech: Python | Groq LLaMA 3.3 | OpenAI API | Azure TTS | Speech Recognition | PyGame 🔗 Repository

RAG-powered agentic AI platform for industrial knowledge intelligence

🏭 Capabilities:
├─ Ingests PDFs, P&IDs, scanned forms & maintenance logs
├─ Builds a unified, queryable knowledge graph
├─ Natural-language querying in seconds
├─ Agentic retrieval over unstructured documents
└─ Built for the ET AI Hackathon 2026

Tech: Python | Neo4j | RAG | LangChain | Vector Search 🔗 Repository

Production-ready retrieval-augmented generation system

📚 Implementation:
├─ Semantic search over document collections
├─ LLM integration with source grounding
├─ Citation-backed responses
└─ Reduces hallucination via retrieval context

Tech: Python | LangChain | Vector DB | LLM APIs 🔗 Repository

Full MERN-stack platform for hostel operations

🏫 Modules:
├─ Room Allocation & Fee Management
├─ Complaints, Notices & Visitor Logs
├─ Mess Menu (North & South, weekly seed data)
├─ Role-based dashboards (Admin / Warden / Student)
├─ JWT authentication
└─ Socket.io real-time updates

Tech: React | Vite | Tailwind | Node.js | Express | MongoDB | Socket.io | JWT 🔗 Repository

Deep learning model for MRI-based tumor classification

🔬 Project Details:
├─ Binary classification (Tumor/Normal)
├─ 97% accuracy on test set
├─ CNN architecture with transfer learning
├─ Structured dataset (Train/Test splits)
└─ Comprehensive evaluation metrics

Tech: Python | TensorFlow/Keras | OpenCV | NumPy | Scikit-learn | Matplotlib 🔗 Repository

Time-series analysis for retail revenue prediction — two iterations

📈 Two versions:
├─ Sales-Forecasting: ARIMA(1,1,1), 12.98% MAPE
├─ Sales-Forecasting-x-ML: ARIMA + XGBoost + feature
│   engineering, 13% MAPE on Amazon dataset
├─ Stationarity testing & data preprocessing pipeline
└─ RMSE, MAE, MAPE evaluation

Tech: Python | Statsmodels | XGBoost | Pandas | NumPy | Scikit-learn | Matplotlib/Seaborn 🔗 Sales-Forecasting | 🔗 Sales-Forecasting-x-ML

Comprehensive collection of 12+ production-ready applications

📱 Projects Included:
├─ E-Commerce Stores (3)
├─ Social Media Platform
├─ Food Delivery System
├─ Healthcare Backend
├─ Blogging Platform
├─ Quiz Application
├─ YouTube Clone
├─ Movies API
├─ MERN Boilerplate
└─ More...

Tech: React | Node.js | Express | MongoDB | Redux | CSS/SCSS | REST APIs 🔗 Repository

A full map of every public repo — flagship projects above, everything else below so nothing's hidden.

Note: an earlier version of this README linked to a Plant-Disease-Detection repository that no longer exists on this account — it's been removed from this page to keep the links accurate.

📊 LeetCode Progress

🏆 300+ Problems Solved

🏅 50 Days Badge 2026 · 100 Days Badge 2026 · June LeetCoding Challenge

Add Credly / certificate verification links once available — clickable badges carry more weight with recruiters than text alone.

2023-2024: Foundation Phase
├─ Started competitive programming (LeetCode)
├─ Learned core ML/AI concepts
├─ Built first ML projects
└─ Completed AWS certification

2024-2025: Specialization Phase
├─ Deep dive into GenAI & LLMs
├─ Built production-grade AI systems
├─ Created comprehensive portfolios
├─ Mastered RAG architectures
├─ Advanced to System Design
└─ Fine-tuning & LLM Ops

2025-Present: Expert Phase
├─ 300+ DSA problems solved
├─ 19 GitHub repositories shipped
├─ Built Conductor — a 4-agent LangGraph orchestration system
├─ Leading GenAI initiatives (RAG, knowledge graphs, agents)
└─ Interviewing for full-stack & AI engineering roles

Areas of Expertise:

• ✨ Generative AI & Large Language Models
• ✨ Multi-Agent Systems (LangGraph)
• ✨ Full-Stack Development (MERN)
• ✨ System Design & Architecture
• ✨ Cloud Computing (AWS)
• ✨ Computer Vision & NLP
• ✨ Competitive Programming & DSA

Currently Exploring:

• 🔍 Multimodal AI systems
• 🔍 Multi-agent evaluation frameworks
• 🔍 Edge AI deployment
• 🔍 Advanced LLM architectures

class SakshamDevloper:
    def __init__(self):
        self.philosophy = {
            'code_quality': 'Production-First',
            'documentation': 'Thorough & Honest',
            'testing': 'Comprehensive',
            'scalability': 'Enterprise-Grade',
            'innovation': 'Continuous'
        }

    def daily_routine(self):
        while True:
            self.learn()
            self.build()
            self.ship()
            self.improve()
            self.share_knowledge()

    def problem_solving_approach(self):
        return {
            '1_understand': 'Deep dive into requirements',
            '2_design': 'Architecture & system design',
            '3_implement': 'Clean, maintainable code',
            '4_test': 'Rigorous testing & validation',
            '5_deploy': 'Production-ready release',
            '6_monitor': 'Performance & metrics',
            '7_iterate': 'Continuous improvement'
        }

Looking to Collaborate On:

• 🤖 GenAI, RAG & multi-agent projects
• 🏗️ Production system architecture
• 📚 Technical content & education
• 🌍 Open-source contributions

Open To:

• 💬 Technical discussions
• 🎓 Mentoring & guidance
• 👥 Team projects
• 🌐 Internships, full-time & remote opportunities

Drop a ⭐ if you find my work interesting!

All projects are licensed under MIT License unless specified otherwise. Feel free to use, modify, and distribute with proper attribution.

Made with ❤️ by Saksham Sethi

Last Updated: August 2026

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