AI Engineer specializing in Generative AI, Multi-Agent Systems, and LLMOps. 14 months of production experience deploying RAG pipelines and AI automation at TechRAQ.
GPT-4, Gemini, Claude, HuggingFace. Expert in prompt engineering, fine-tuning, and chain-of-thought reasoning for production systems.
Multi-Agent Systems
LangGraph, CrewAI, AutoGen. Orchestration, state management, and inter-agent communication for complex workflows.
RAG & Vector Search
500+ document pipelines with FAISS, ChromaDB, hybrid search. Achieved 75% accuracy and 80% faster retrieval times.
LLMOps
CI/CD for LLMs, Docker, Kubernetes, Prometheus/Grafana. Maintained 99.5% uptime with 35% cost reduction.
Professional Experience
1
November 2025 - Present
AI Engineering Fellow at Intern Certify. Six-month intensive fellowship on production-grade Generative AI deployment, LLMOps infrastructure, and advanced machine learning.
2
September 2024 - November 2025
AI Engineer at TechRAQ Info Solutions. Designed 7 production RAG chatbots, built Text-to-SQL engine with 82% accuracy, and led multi-agent workflow development.
Key Achievements at TechRAQ
Multi-PDF RAG System
Handled 500+ documents with semantic chunking and hybrid search, improving query accuracy to 75%.
Text-to-SQL Engine
Converted natural language to SQL queries using Gemini API with 82% accuracy for business intelligence.
AI Essay Grading
Automated writing evaluation using GPT-4 with rubric-based scoring for 100+ students.
Impact Metrics
80% faster information retrieval
70% reduction in manual effort
95% data accuracy maintained
10,000+ records processed daily
Production AI Projects
1
RAG Chatbots
Deployed 7 production-level chatbots using LangChain, ChromaDB, and FAISS for enterprise clients.
2
AI Career Coach
Built personalized career guidance chatbot using vector search and real-time data retrieval.
3
Research Assistant
Created RAG-powered assistant for academic information with semantic search capabilities.
4
ETL Pipelines
Automated web data extraction using Scrapy and Selenium, processing 10,000+ records daily into MongoDB.
Current Focus: Advanced ML & Deep Learning
Deep Learning
CNN, RNN, LSTM for computer vision and sequence modeling. Transfer learning with VGG16 and ResNet50 for production applications.
Predictive Analytics
Built sales forecasting system using Random Forest and XGBoost ensemble, achieving 85% accuracy. Implemented ARIMA and Prophet models with interactive Streamlit dashboard.
Statistical Modeling
A/B testing, hypothesis testing, and feature engineering for production ML pipelines. ETL pipelines with data validation.
Technical Skills
AI & Machine Learning
GPT-4, Gemini, Claude, HuggingFace
LangChain, LangGraph, CrewAI, AutoGen
FAISS, ChromaDB, Vector Search
CNN, RNN, LSTM, Transfer Learning
DevOps & Infrastructure
Docker, Kubernetes, CI/CD
Prometheus, Grafana Monitoring
n8n Workflow Automation
PostgreSQL, MongoDB
Data Science
Random Forest, XGBoost, ARIMA
Prophet Time Series Forecasting
Scrapy, Selenium Web Scraping
Streamlit Dashboard Development
Education & Certifications
Bachelor of Computer Applications
Roland Institute of Technology, India (2019-2022). Computer Programming and Specific Applications.
Java Full Stack Developer
NARESH I Technologies (Oct 2022 - Nov 2023). Professional training in full stack development.
Udemy (Feb 2025 - Apr 2025). Awarded Top Performer in GenAI Bootcamp.
Agentic AI with LangChain & LangGraph
Udemy (Apr 2025 - May 2025). Specialized certification in multi-agent systems.
LLMOps - Production AI Deployment
Professional certification in production-grade LLM operations and deployment strategies.
Languages & Recognition
Language Proficiency
100%
Odia
Native or Bilingual
100%
Hindi
Native or Bilingual
85%
English
Professional Working
Honors & Awards
Top Performer in GenAI Bootcamp
Recognized for exceptional performance in Data Science & Generative AI training program, demonstrating advanced understanding of AI concepts and practical applications.
Let's Connect
Seeking AI Engineer, Generative AI Engineer, or LLMOps Engineer roles. Open to opportunities in production AI deployment, multi-agent systems, and advanced machine learning applications.