Abhishek Anand
Software Engineer
“Trust me, I'm a software engineer.”
Still trying to make 'Hello World' the new 'abc' — but now with a touch of AI magic.
I'm a passionate software engineer with strong foundations in design, system integration, and intuitive problem-solving. Over the years, I've honed my skills in C, C++, Python, JavaScript, and SQL, while building robust backend systems using Node.js, Express.js, MongoDB, and MySQL. I'm also experienced with Docker, Kubernetes, RESTful APIs, and Cloud Platforms like AWS and Azure, along with CI/CD pipelines, Git, and Agile development practices.
👨💻 What's New?
Recently, I've stepped into the world of LLMs and Generative AI, building context-aware, intelligent AI systems that go beyond chatbots. Some of the exciting areas I've explored include:
AI Agents & Agentic Workflows
Built autonomous AI agents using LangChain and orchestrated them with LangGraph, including fault-tolerant checkpointing, memory-aware agents, and human-in-the-loop systems.
RAG & Multi-Modal Applications
Integrated Qdrant, PGVector, and Pinecone for Retrieval-Augmented Generation; worked on multi-modal LLMs combining text and images.
Graph-based AI
Transformed documents into graph representations using Neo4j; implemented Cypher query-based context retrieval.
Security & Safety in AI
Focused on implementing guardrails, PII detection, and deploying self-hosted models like Llama-3 for privacy-compliant AI.
Tool Binding & API Integration
Built intelligent systems that call external APIs and services through AI tools.
AWS-Based AI Deployment
Hosted scalable AI apps using cloud-native practices.
My aim is to bridge traditional software engineering with intelligent automation and AI-native solutions, building apps that think, adapt, and evolve with users.
Outside of tech, I'm a tea lover, a stage actor, and a strong believer in the power of stories — whether told through code or performance.