Nagendra Panda
AI Engineer specializing in Generative AI, Multi-Agent Systems, and Production LLMOps. 14 months of proven experience deploying RAG pipelines and AI automation at TechRAQ.
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Core Expertise
Generative AI
GPT-4, Gemini, Claude, HuggingFace with prompt engineering, fine-tuning, and chain-of-thought reasoning.
Multi-Agent Systems
LangGraph, CrewAI, AutoGen orchestration with state management and inter-agent communication.
RAG & Vector Search
500+ document pipelines using FAISS, ChromaDB, hybrid search achieving 75% accuracy and 80% faster retrieval.
LLMOps
CI/CD for LLMs, Docker, Kubernetes, monitoring with 99.5% uptime and 35% cost reduction.
Production AI Impact
75%
Query Accuracy
RAG system accuracy improvement
80%
Faster Retrieval
Information retrieval time reduction
70%
Effort Reduction
Manual operational effort saved
99.5%
System Uptime
Production deployment reliability
TechRAQ Experience
AI Engineer | September 2024 - November 2025
RAG Chatbots
Designed 7 production-level RAG chatbots using LangChain, ChromaDB, and FAISS with semantic chunking.
Text-to-SQL Engine
Built natural language to SQL converter using Gemini API, achieving 82% accuracy for business intelligence queries.
Essay Grading System
Created AI-based evaluation tool using GPT-4 with grammar checks, sentiment analysis, and personalized feedback for 100+ students.
ETL Pipelines
Built automated data extraction using Scrapy and Selenium, processing 10,000+ records daily with 95% accuracy.
Current Fellowship Focus
AI Engineering Fellowship
Intern Certify | November 2025 - Present
Six-month intensive program focused on production-grade Generative AI deployment, LLMOps infrastructure, and advanced machine learning.
Key Areas
  • Deep Learning: CNN, RNN, LSTM
  • Time Series Forecasting
  • Statistical Modeling
  • Production ML Pipelines
Featured Project: Predictive Analytics
Sales Forecasting System
Built end-to-end system using Random Forest and XGBoost ensemble, achieving 85% prediction accuracy with ARIMA and Prophet models.
Interactive Dashboard
Developed Streamlit dashboard with real-time predictions, visualization, and ETL pipelines for feature engineering.
Technical Skills
AI Automation
n8n workflow engineering and API orchestration reducing manual effort by 70%.
Data Engineering
ETL pipelines, MongoDB, PostgreSQL with validation and deduplication maintaining 95% accuracy.
Statistical Analysis
A/B testing, hypothesis testing, correlation analysis for production ML applications.
Development
Python, Java Full Stack, Docker, Kubernetes with CI/CD implementation.
Education & Certifications
1
Bachelor of Computer Applications
Roland Institute of Technology | July 2019 - July 2022
2
Java Full Stack Developer
NARESH I Technologies | October 2022 - November 2023
3
Python & Web Development
NARESH I Technologies | December 2023 - July 2024
4
Data Science & GenAI Bootcamp
Udemy | February 2025 - April 2025 | Top Performer
5
Agentic AI with LangChain
Udemy | April 2025 - May 2025
Languages & Recognition
Language Proficiency
English
Professional Working
Odia
Native
Hindi
Native
Honors & Awards
Top Performer
GenAI Bootcamp Excellence Award
LLMOps Certified
Production AI Deployment
Let's Connect
Seeking AI Engineer, Generative AI Engineer, or LLMOps Engineer roles. Open to opportunities in production AI deployment and multi-agent systems.
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