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HEY THERE, I AM
A y u s h
S r i v a s t a v a
> Software Engineer specializing in AI

Built 6+ production-ready AI applications using LLMs, RAG pipelines, and modern full-stack technologies. Delivered solutions processing 10K+ records with real-time performance.

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Work Experience

Self-Directed Learning & Project Portfolio

AI Developer (Portfolio Development)

Jan 2024 — Present
  • Built and deployed 6 production-ready AI applications using FastAPI, LangChain, OpenAI, and vector databases (Pinecone/ChromaDB).
  • Designed RAG pipelines processing 10K+ documents with 95% retrieval accuracy for technical documentation.
  • Developed full-stack AI assistant handling 1K+ user queries with sub-2 second response time.
  • Solved 300+ DSA problems across LeetCode and HackerRank, achieving 5-star ratings in Python and SQL.
  • Engineered automated ETL pipelines monitoring 10+ products daily with real-time anomaly detection.

Skills

AI & Machine Learning

  • LLMs (OpenAI, Anthropic, Gemini)
  • LangChain & LlamaIndex
  • RAG Pipelines & Vector Databases
  • Prompt Engineering & Fine-tuning
  • Hugging Face Transformers

Backend Development

  • Python (FastAPI, Django)
  • REST API Design & Development
  • PostgreSQL & MongoDB
  • Redis & Caching

Frontend & Full Stack

  • React & Next.js
  • TypeScript
  • Tailwind CSS
  • Node.js & Express

DevOps & Tools

  • Docker & Containerization
  • Git & GitHub Actions
  • CI/CD Pipelines
  • AWS (EC2, S3, Lambda)

17

Technical Skills

4

Categories

6+

Experience

∞

Continuous Learning

Featured Projects

AI Assistant

Production-ready conversational AI assistant built with Next.js, FastAPI, and OpenAI GPT-4. Handles 1K+ concurrent users with real-time responses, context-aware memory, and multi-turn conversations.

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Developer Docs AI

Production-grade RAG system indexing 5K+ technical documents. Supports PDF, Markdown, Text formats with OpenAI embeddings, ChromaDB, and achieves 95% retrieval accuracy.

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AI Search Engine

Hybrid semantic search platform indexing 10K+ articles from Dev.to, Medium, Hacker News. Built with FastAPI, Elasticsearch, Sentence Transformers using BM25 + vector ranking.

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Customer Churn Predictor

ML classification system analyzing 10K+ customer records with 85% prediction accuracy. Features LLM-generated insights layer auto-generating retention strategies.

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Amazon Price Tracker

Python-based ETL pipeline monitoring 10+ products daily with real-time price tracking, anomaly detection, and automated email alerts when prices drop.

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Achievements

Problem Solver

300+ DSA Problems Solved

Solved 300+ algorithm and data structure problems across LeetCode and HackerRank. 5-star rating in Python and SQL on HackerRank.

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5-Star Coder

5-Star HackerRank

Achieved 5-star ratings in Python and SQL on HackerRank. Ranked in top 10% globally for algorithmic problem solving.

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Kaggle Practitioner

Kaggle Competitions

Active participant in Kaggle competitions. Built and trained multiple AI models achieving top 20% rankings. Developed production-ready ML pipelines.

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Certificates & Credentials

Google

Google AI Fundamentals

Issued: Dec 2025

Machine Learning TensorFlow AI/ML Pipelines

Comprehensive certification covering ML fundamentals, TensorFlow, and building scalable AI pipelines on Google Cloud.

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ID: GOOGLE-AI-2025

IBM

IBM AI Engineering Professional

Issued: Nov 2025

Machine Learning Deep Learning LLMs Hugging Face

Advanced certification in AI engineering including LLMs, Hugging Face, and production AI deployment.

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ID: IBM-AI-ENG-2025

Udemy

Generative AI with Python

Issued: Oct 2025

Generative AI LangChain OpenAI API RAG Pipelines

Hands-on certification building RAG systems, AI agents, and LLM-powered applications using LangChain and OpenAI.

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ID: UDEMY-GENAI-2025

AWS

AWS Certified AI Fundamental

Issued: Jan 2026

AWS AI/ML SageMaker Bedrock Lambda

Certification in building and deploying AI solutions on AWS cloud infrastructure.

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ID: AWS-AI-2026

4

Industry Certifications

From leading tech companies

15

Skills Verified

Across all credentials

Articles

The AI Developer Stack in 2025 — LLMs, RAG & Agents

A practical guide to the modern AI developer toolkit: choosing LLMs, building RAG pipelines, and shipping autonomous agents.

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Top 7 AI Projects Every Developer Should Build

Essential AI project ideas covering RAG systems, agents, fine-tuning, and full-stack LLM-powered applications.

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About Me

Software Engineer specializing in AI, with experience building production-ready applications using LLMs, RAG pipelines, and modern tech stacks. Focused on developing scalable, real-world solutions powered by advanced AI systems. Skilled in designing scalable RAG systems processing 10K+ documents with high accuracy, building AI assistants supporting 1K+ concurrent users, and deploying full-stack applications with real-time performance. I'm passionate about turning cutting-edge AI models into production products that solve real problems at scale.