Pawan
Software Engineer
Backend / Platform Engineer with 4.6+ years of experience designing, building, and operating production-grade backend systems using Python, Django, FastAPI, and JavaScript. Strong background in cloud-native architecture on AWS, data engineering with PostgreSQL and Apache Airflow, and enterprise automation including cybersecurity workflows, ETL pipelines, and access control systems (RBAC / ACL).
Skills & Technology
Top expertise areas
Compute & Application Logic
Data Strategy & Persistence
Platform Engineering (Infrastructure)
DevOps & Delivery Automation
Observability & Reliability (SRE)
Featured Projects
My best work
RAG Flashcard Generator
A Retrieval-Augmented Generation (RAG) powered flashcard generator that turns study materials (e.g., PDFs, notes, webpages) into structured flashcards using a pipeline based on LangChain, embeddings,
AEGIS – Autonomous Incident Response Engine
An AI-powered autonomous incident response system that detects production issues, analyzes logs and metrics, identifies root causes, and generates remediation suggestions using a locally hosted large
Local_RAG_Agent
A local Retrieval-Augmented Generation (RAG) agent that loads a .txt or .csv file, embeds its content, retrieves relevant context, and answers user questions using a local language model and vector se
Portfolio Website
A personal portfolio website built with Django and Tailwind CSS to showcase your professional journey, projects, blog posts, and skills with modern UI/UX and responsive design.
Certifications
Professional credentials
Building AI Agents and Agentic Workflows
IBM
Jan 2026
• Developed agentic AI applications integrating tools, reasoning, and reflection-based performance improvement • Designed AI agents with LangGraph using memory, iteration, RAG, and workflow design patterns • Orchestrated multi-agent systems with CrewAI for coordinated, collaborative workflows • Built conversation-driven agentic assistants using BeeAI and AG2, and evaluated frameworks for real-world applicability
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AI Agents and Agentic AI in Python: Powered by Generative AI
Vanderbilt University
Sep 2025
• Built autonomous AI agents in Python to perform independent, API-driven tasks • Mastered core and advanced agent concepts including agent loops, tool integration, and multi-agent design • Optimized AI agents for real-world use with focus on resilience, efficiency, and predictable behavior
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IBM RAG and Agentic AI Specialization.
IBM
Jan 2026
• Built job-aligned GenAI applications including RAG, multimodal, and agentic AI systems through hands-on projects • Designed and chained AI tools using LangChain to create modular, reusable GenAI workflows • Implemented function calling, RAG pipelines, and vector stores for context-aware AI applications • Created autonomous AI agents using LangGraph, CrewAI, and AG2 for real-world use cases
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Generative AI for Software Developers Specialization.
IBM
Jul 2025
• Identified real-world generative AI use cases and evaluated major GenAI models and tools across text, code, image, audio, and video • Applied prompt engineering concepts and techniques to design effective, high-impact prompts using common tooling • Generated code snippets, scripts, test cases, and small applications using generative AI models • Built software engineering solutions leveraging AI-powered developer tools and LLM platforms
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I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.