Sriram R

B.Tech. in Karpagam College Of Engineering

November 2023 - 2026

Degree

• Btech - Artifical Intelligence and Data Science

Elgi Matriculation Higher Secondary School

April 2020

State Board

• Secondary School Certificate (SSC)

AI Product Discovery Assistant

Apr 2026 – May 2026

Python, Streamlit, ChromaDB, SentenceTransformers, Groq API, Llama 3.3, Semantic Search, Vector Embeddings

• Developed a Streamlit-based AI shopping assistant enabling natural-language product discovery from a curated 50-product catalog.
• Implemented a strict 8-stage pipeline with domain validation, keyword hard filtering, age/budget extraction, and cosine re-ranking using all-MiniLM-L6-v2 embeddings and ChromaDB.
• Integrated Groq's Llama-3.3-70B to generate structured, context-aware product recommendations with personalized "why recommended" explanations per result.

AI-Based Resume Analysis and Automated Email System

Jan 2026 – Feb 2026

Python, CrewAI, Streamlit, PyPDF2, Groq API, LLaMA-3.3-70B, Gmail SMTP, LangChain

• Built an automated recruitment system that analyzes AI/ML candidate resumes using multi-agent workflow and sends personalized acceptance/rejection emails via Streamlit interface.
• Implemented semantic resume evaluation with PyPDF2 extraction, regex-based candidate info parsing, and CrewAI agents for AI/ML suitability assessment and professional email generation.
• Integrated Groq's LLaMA-3.3-70B for context-aware decision-making (YES/NO) with reasoning and automated Gmail SMTP delivery with secure TLS encryption and environment variable management.

API Monitoring & Observability Platform

Nov 2025 - Dec 2025

Spring Boot, Kotlin, Next.js, TypeScript, MongoDB Atlas, JWT, Maven, Tailwind CSS

• Built a full-stack monitoring platform with Spring Boot (Kotlin) and Next.js to track API performance across microservices in real-time.
• Implemented dual MongoDB architecture separating 2 databases for logs and metadata, handling concurrent alert resolutions using optimistic locking.
• Developed API tracking interceptor capturing latency, status codes, and request/response sizes, with automated alert generation for slow APIs (>500ms) and 5xx errors.
• Created per-service rate limiter (100 req/sec) using ConcurrentHashMap and AtomicInteger, detecting violations without blocking requests.

PDF Question-Answer Chatbot using RAG

Oct 2025 - Nov 2025

Python, Streamlit, PyPDF2, ChromaDB, Sentence Transformers, Groq API, Llama-3.3-70B, RAG

• >Built an intelligent chatbot using RAG architecture for uploading PDFs and asking natural language questions with AI-generated answers via Streamlit interface.
• Implemented semantic search with PyPDF2 extraction, text chunking, multi-qa-mpnet-base-dot-v1 embeddings, and ChromaDB for retrieving top-3 relevant chunks.
• Integrated Groq’s Llama-3.3-70B for contextual response generation with chat history and automatic session management.

Bank Email Automation System

Aug 2025 - Sep 2025

Python, Prompt-RAG, Groq Llama-3.3-70B, Gmail IMAP/SMTP

• Developed an automated email-response system for a bank that monitors Gmail inbox for unread messages and replies intelligently using a prompt-based RAG approach powered by Groq Llama-3.3-70B.
• Designed a static banking knowledge prompt to handle common customer queries with a fallback response for non-banking messages.
• Implemented continuous inbox monitoring, AI-generated replies, and automatic read-status updates using a clean multi-file project structure.

Languages and Databases

AI/ML Frameworks

Tools & Platforms