Aman Konnur profile photo 1 on Tal

Aman Konnur

Python & LLM Engineer | RAG Pipelines · LangChain · FastAPI | Built AI Systems Deployed on AWS

Bengaluru

2+ years of work experience

Jan 20242 yrs 6 mosPresent

Bengaluru, Karnataka, India

🔹AI-Powered Religious RAG Chatbot — Built using FastAPI, LangChain, Pinecone Vector DB, Ollama LLMs, semantic search, and Retrieval-Augmented Generation (RAG) for authentic Religious Texts. 🔹 RAG-Based Document Q&A Chatbot — Integrated LangChain, FAISS vector store, OpenAI API, and FastAPI backend; deployed on AWS EC2 for live demo access. 🔹 Autonomous Job Application Bot — Built using LangChain agents, Playwright for browser automation, and PostgreSQL for application state management. 🔹 AI-Powered Resume Analysis Engine — Built using spaCy NLP, FAISS similarity search, Dockerized deployment, and AWS EC2 hosting.
Spurzee Technologies
Aug 20241 yr 2 mosSep 2025

Bengaluru

🔹Engineered a real-time async notification engine in Python (AsyncIO + PostgreSQL), handling concurrent event delivery with sub-100ms latency across multiple user channels. 🔹Built and deployed algorithmic trading pipelines that automated signal generation and order execution logic, reducing manual intervention time significantly. 🔹Designed and maintained ETL pipelines for structured financial data ingestion, transformation, and loading ensuring data integrity for downstream analytics. 🔹Operated in a fast-moving startup environment with direct ownership of features from design through deployment.

Aman’s AI Stack

cursor
cursor
langchain
langchain
langgraph
langgraph
openai
openai

Education

Alva's Institute of Engineering and Technology

Bachelor of Engineering - B.E., Artificial Intelligence and Machine Learning

Alva's Institute of Engineering and Technology

20204 yrs2024
Ics Mahesh pu College

Pre-University College

Ics Mahesh pu College

20182 yrs2020

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Headline

Python & LLM Engineer | RAG Pipelines · LangChain · FastAPI | Built AI Systems Deployed on AWS

About

I build AI systems that go beyond prototypes — from RAG-based document chatbots to autonomous job application agents, my work spans the full stack of modern AI engineering: LLM orchestration, vector search, async APIs, and cloud deployment. Over 12 months at Spurzee Technologies (Bengaluru), I shipped production-grade Python systems — including a real-time async notification engine, algorithmic trading pipelines, and ETL workflows — in an environment where performance and reliability were non-negotiable. What I've built: 🔹 RAG-Based Document Q&A Chatbot — LangChain + FAISS + OpenAI + FastAPI, deployed on AWS EC2 🔹 Autonomous Job Application Bot — LangChain + Playwright + PostgreSQL (end-to-end agentic workflow) 🔹 AI-Powered Resume Analysis Engine — spaCy + FAISS + Docker + AWS EC2 🔹 Trading Algorithm + Async Notification Engine at Spurzee Technologies Tech stack: Python · LangChain · FastAPI · PostgreSQL · FAISS · Docker · AWS · spaCy · Playwright · AsyncIO I'm actively targeting AI Engineer, LLM Engineer, and Python Developer (AI) roles — ideally at product companies or AI-first startups where I can work on intelligent systems end-to-end. 📫 amankonnur07@gmail.com · github.com/amankonnur

Location

Bengaluru

AI stack

cursor

langchain

langgraph

openai

Work experience

AI/ML Projects — Independent Builder at self directed, Jan 2024 - Present · 2 yrs 6 mos, Bengaluru, Karnataka, India, 🔹AI-Powered Religious RAG Chatbot — Built using FastAPI, LangChain, Pinecone Vector DB, Ollama LLMs, semantic search, and Retrieval-Augmented Generation (RAG) for authentic Religious Texts. 🔹 RAG-Based Document Q&A Chatbot — Integrated LangChain, FAISS vector store, OpenAI API, and FastAPI backend; deployed on AWS EC2 for live demo access. 🔹 Autonomous Job Application Bot — Built using LangChain agents, Playwright for browser automation, and PostgreSQL for application state management. 🔹 AI-Powered Resume Analysis Engine — Built using spaCy NLP, FAISS similarity search, Dockerized deployment, and AWS EC2 hosting.

Software Engineer at Spurzee Technologies, Aug 2024 - Sep 2025 · 1 yr 2 mos, Bengaluru, 🔹Engineered a real-time async notification engine in Python (AsyncIO + PostgreSQL), handling concurrent event delivery with sub-100ms latency across multiple user channels. 🔹Built and deployed algorithmic trading pipelines that automated signal generation and order execution logic, reducing manual intervention time significantly. 🔹Designed and maintained ETL pipelines for structured financial data ingestion, transformation, and loading ensuring data integrity for downstream analytics. 🔹Operated in a fast-moving startup environment with direct ownership of features from design through deployment.

Education

Bachelor of Engineering - B.E., Artificial Intelligence and Machine Learning, Alva's Institute of Engineering and Technology

Pre-University College, Ics Mahesh pu College