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SRM University
Web Dev Intern
June 14, 2026 – Present
voxpipeline
June 6, 2026 – Present
VoxPipeline is a production-grade pipeline that acquires audio/video content, preprocesses it to model-ready format, runs speaker diarization, classifies emotion and speaking style per segment, and outputs structured JSON/CSV annotation files ready for TTS model training. It is designed to mirror the speech data infrastructure powering large-scale
View ProjectKisan-Yield-Guard
June 5, 2026 – Present
An end-to-end MLOps pipeline for Indian district-level crop yield prediction with automated data drift detection and CI/CD retraining.
View ProjectAgriSaarthi
June 2, 2026 – Present
AgriSaarthi is a microservices platform for crop disease detection and multilingual advisory. It combines image-based diagnosis, RAG-powered context retrieval, LLM-generated recommendations, and Indic language translation, with FastAPI, Celery, Redis, and Docker for scalable deployment.
View ProjectDe_Novo_Drug-Generator
May 26, 2026 – Present
This project features a complete multi-objective de novo drug design pipeline targeting the SARS-CoV-2 Main Protease (Mpro). By combining Graph Diffusion Models, Active Learning (Uncertainty Estimation), and 3D Pharmacophore Alignment, the pipeline successfully generates highly valid, drug-like, and synthesizable novel candidates.
View ProjectAgentic-RAG-System
May 23, 2026 – Present
A production-grade, fully agentic Retrieval-Augmented Generation (RAG) system built with LangGraph, FastAPI, and RAGAS. This system intelligently analyzes queries, decides on retrieval strategies (using hybrid dense+sparse retrieval), scores and reranks documents, handles web search fallbacks, and features internal hallucination checks.
View ProjectMaths-With-ML
May 2, 2026 – Present
New designs and implementations with Machine learning and mathematics
View ProjectMULTI
April 13, 2026 – Present
A complete, modular Multi-Agent system powered by a Groq-hosted LLM, utilizing Agent-to-Agent (A2A) communication and the Model Context Protocol (MCP) to execute complex, multi-step tasks.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards Machine Learning, AI, and MLOps, which might not directly align with a pure 'Web Dev Intern' role. While the candidate has experience with web technologies (JavaScript, HTML, CSS) in several projects, the core focus appears to be on backend logic, data pipelines, and AI model integration. This indicates a strong interest in advanced technical domains, but a potential mismatch if the internship is primarily front-end focused. The diversity of projects shows a broad technical curiosity.
Soft Skills & Operational Fit
The candidate's extensive personal projects suggest strong self-motivation and a proactive approach to learning and development. The descriptions of projects like 'VoxPipeline' and 'Agentic-RAG-System' imply an ability to tackle complex problems and work independently. However, without psychometric test results or interview data, it is difficult to assess stress handling, team collaboration, or specific communication styles.