I’m an AI Engineer focused on building production-grade intelligent systems at the intersection of Agentic AI, retrieval-augmented architectures, and scalable backend platforms. My work centers on designing end-to-end solutions that combine modern language models, data pipelines, and distributed services to solve real-world automation and intelligence problems.

I specialize in developing AI-powered platforms that move beyond prototypes—systems that integrate reasoning agents, real-time processing, and robust APIs to support enterprise workflows and product-grade applications. My experience spans RAG systems, AI orchestration engines, computer vision pipelines, and cloud-deployed SaaS backends, with an emphasis on reliability, extensibility, and system design.

What I Do:

• 🤖 Agentic AI systems and multi-step reasoning workflows
• 🔍 Retrieval-augmented generation and knowledge platforms
• 🏗️ Production-grade backend and AI service architectures
• ⚡ Intelligent automation and data processing systems
• 🚀 Full-cycle AI product development and deployment

April 2025 – October 2025 | Faridabad, Haryana (Remote)

• 🏆 Engineered AI-powered enterprise chatbots reducing query resolution time by 35%
• 🤖 Designed end-to-end Agentic AI workflows cutting manual effort by 50-60%
• 📦 Built scalable B2B SaaS platform accelerating delivery cycles by 2×
• 📊 Developed automated real estate audit system achieving 95%+ accuracy, reducing turnaround from days to minutes

LangChain • Playwright • Celery • FastAPI • PostgreSQL • React

Production-grade, multi-tenant SaaS for automated lead discovery, enrichment, and scoring.

Key Features:

• 🕷️ Distributed web scraping with Playwright + Celery workers
• 🧠 AI-powered enrichment using LangChain + Groq (LLM)
• 📊 Intelligent lead scoring and qualification engine
• 🔐 JWT authentication with role-based access control
• 🎨 Modern React dashboard with real-time analytics
• 🐳 Fully containerized with Docker deployment

Impact: Automated lead generation pipeline processing 1000+ leads/day

FastAPI • PyTorch • Pinecone • LangChain • Docker

Production-grade Agentic RAG platform over 10,000+ pages of classical Ayurvedic texts.

Technical Highlights:

• 📚 Custom OCR pipeline with Char-CNN models for Sanskrit processing
• 🔍 Semantic retrieval using SentenceTransformers + Pinecone vector DB
• 🤖 Multi-stage reranking with citation-grounded responses
• 💬 LLaMA-3 powered conversational AI with long-term memory
• 🔒 Secure backend with JWT auth and PostgreSQL
• ☁️ Cloud-deployed with Docker containerization

Impact: Sub-second retrieval across 10K+ pages with citation accuracy

Selenium • BeautifulSoup • LangChain • OpenAI

AI agent for automated job discovery, filtering, scoring, and application.

Capabilities:

• 🌐 Browser automation for multi-platform job scraping
• 📄 Intelligent resume parsing and matching
• 🎯 AI-powered job scoring and prioritization
• 🛡️ Built-in safety constraints and human-in-the-loop controls

Core Skills: RAG Systems • Agentic AI • Prompt Engineering • Fine-tuning (LoRA/QLoRA) • Embedding Models • OCR Pipelines

Vector Stores: Pinecone • FAISS • ChromaDB

Specialties: CI/CD • Microservices • REST APIs • Model Deployment

Tools: Celery • BeautifulSoup • Scrapy • Requests

Contribution Activity (Last 30 Days)

Recent Activity

Indian Institute of Information Technology and Management, Gwalior
Bachelor of Technology in Computer Science | Graduated 2025

I'm always interested in collaborating on innovative AI projects, discussing agentic systems, or exploring new opportunities in AI engineering.