Headline

AI Engineer | LLM Systems | AI Agents | Backend Engineering | Django | FastAPI | LangGraph | Langchain | RAG

About

I'm a Software Developer with a focus on Artificial Intelligence, Machine Learning, and Generative AI. I can build end-to-end AI systems using technologies like large language models (LLMs), multi-agent architectures, retrieval-augmented generation (RAG) pipelines, and multimodal inputs. I have hands-on experience working with tools such as Python, PyTorch, LangChain, Hugging Face, and FastAPI, and enjoy building solutions that are both practical and scalable. Key Skills: AI & ML: Deep Learning, NLP, Generative AI, Transformers, LLMs Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, FastAPI Systems: RAG pipelines, multi-agent workflows, vector databases (FAISS, Pinecone) Deployment: API development, Docker Projects: AI Research Assistant (In Progress) – Multi-agent system for automated document analysis Multimodal Resume Assistant – Combines NLP and visual parsing for personalized resume creation and HR resume screening Research – Co-authored IEEE paper on Disease Prediction using Deep Learning I’m interested in building reliable, well-structured AI systems that solve real-world problems. Open to learning, collaboration, and opportunities in applied AI engineering.

Location

Ghaziabad

AI stack

claude code

claude

cursor

github copilot

langchain

langgraph

Work experience

Software Development Engineer at Amadeus Labs, Jul 2024 - Present · 2 y 2 mo, Bangalore, • Spearheaded the design and development of an AI-powered Log Debugging Assistant to analyze production incidents across distributed microservices. • Architected and implemented an LLM-based agent (ReAct pattern) enabling iterative log retrieval, correlation ID tracing, and automated root cause analysis. • Engineered a scalable log aggregation and preprocessing pipeline (Elastic/Splunk) to trans- form raw logs into structured timelines and actionable summaries. • Enabled multi-step reasoning with dynamic function calling, allowing the agent to fetch targeted service logs across multiple iterations. • Reduced manual debugging effort and accelerated incident resolution by delivering AI-generated • Delivered numeorus self innovative internal tools directly contributing and enhancing the team functioning root cause reports with supporting log evidence. • Built UI screens in Angular with advanced state management using RxJS and NGXS.

Software Engineer Intern at Amadeus Labs, Feb 2024 - Jun 2024 · 4 mo, Bangalore, • Designed and built an Event Monitoring Framework using Java and OpenTelemetry. • Implemented distributed tracing across microservices, improving observability and reducing MTTR. • Enhanced system monitoring coverage, improving operational efficiency.

Data Science Intern at Convergytics Solutions, Jun 2023 - Jul 2023 · 2 mos, Bengaluru, Karnataka, India, Market Mix Modelling • Cleaned the raw zonal data provided to a legible national level data for the client in MS Excel. • Performed Exploratory Data Analysis using Tableau. • Built a Predictive Model in Python using Statistical and Regression Analysis. • Estimated the Contribution of each Marketing input to Sales and their respective ROI.

Education

Bachelor of Technology - BTech, Computer Science, amity University