Gaurav Singh

@gavksingh

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Part of The Prompt Academy — 2,400+ AI professionals

Projects 9

Agentic MCP Hub

Enterprise-grade MCP server that gives AI agents a unified interface to Jira, Slack, and SQL databases. Designed for secure, multi-step agentic workflows across enterprise systems. Features Jira + Slack + SQL integration, secure workflows, enterprise-grade architecture, and multi-step agent orchestration.

Python MCP Pydantic +7 more

GitHub

WeatherWise Agent

AI-powered weather assistant built with LangGraph and MCP (Model Context Protocol). Natural language queries for real-time weather, forecasts, air quality, and alerts. Deployed on GCP using Vertex AI with Dockerized microservices and network isolation. Features LangGraph + MCP architecture, SSE streaming responses, and Docker microservices.

FastAPI LangGraph MCP +13 more

GitHub Live Demo

Campaign Intelligence Assistant

AI-powered campaign analytics tool for adtech teams. Natural language chat interface that queries campaign databases, generates LCI attribution reports, compares campaigns, and recommends audience segments. Features a LangGraph agent with 5 tools, real-time SSE streaming, pgvector semantic search, and serverless deployment on Vercel + Neon.

FastAPI LangGraph Next.js +16 more

GitHub Live Demo

AutoFlow MCP

Browser automation and content extraction MCP server that lets AI agents navigate, click, and extract structured data from the web using Playwright-powered workflows. Features browser automation, structured extraction, Playwright-powered engine, and web agent workflows.

TypeScript MCP Playwright +5 more

GitHub

XVoice - Voice Analytics AI

Deep learning system for predicting accent, age, and gender from voice data using pi-whisper and LoRA fine-tuning. Real-time speech analysis with high accuracy. Features real-time speech analysis, LoRA fine-tuning, accent prediction, and age and gender detection.

Python Speech Analysis Whisper +8 more

Live Demo

AutoRSR - AI Speech Disorder Screening

AI-powered system for early detection of speech disorders in children using advanced machine learning. Determines whether a child requires Speech-Language Pathologist (SLP) attention with high accuracy. Features early disorder detection, SLP screening, high accuracy ML, and healthcare AI applications.

Python FastAPI React +5 more

Live Demo

GNN+ Graph Neural Network

Graph Neural Network implementation for unsupervised vertex clustering and supervised graph classification. Features custom GNNConv message-passing layer and CheegerCutPool pooling with dual implementations in TensorFlow (Spektral) and PyTorch (PyTorch Geometric). Demonstrates deep graph-based ML beyond standard neural networks.

Python PyTorch TensorFlow +5 more

GitHub

Reinforcement Learning - Grid World

Comprehensive exploration of reinforcement learning techniques in a custom Grid World environment. Implements SARSA (on-policy) and N-step Double Q-Learning (off-policy) algorithms with dynamic visualization. N-step Double Q-Learning achieves 13,500+ average reward per episode, outperforming SARSA. Features an Escape Room Challenge with keys, traps, doors, and a warehouse simulation for scalability testing.

Python NumPy Matplotlib +5 more

GitHub

Deep Learning - CNN & ResNet

Graduate-level deep learning project covering neural network architectures and model optimization. Comparative analysis between custom CNN and modified VGG-13 achieving 92% test accuracy. Includes ResNet implementation, model interpretability techniques, and systematic hyperparameter tuning across dropout rates, batch sizes, and optimizers.

Python PyTorch NumPy +7 more

GitHub

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Verified Skills

Python MCP Pydantic SQLAlchemy Jira API Slack API Docker Docker Compose Kubernetes pytest FastAPI LangGraph Next.js Vertex AI GCP Gemini TypeScript Groq GCP Cloud Run SSE PostgreSQL pgvector Vercel Neon React Tailwind CSS Alembic Playwright Web Agents Node.js Zod Speech Analysis Whisper LoRA Deep Learning PyTorch Healthcare AI TensorFlow Spektral PyTorch Geometric NumPy Matplotlib Reinforcement Learning SARSA Q-Learning scikit-learn CNN ResNet VGG-13

Bio

I build AI agents that actually run in production, not just demos. 𝟰+ 𝘆𝗲𝗮𝗿𝘀 of experience in 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 and 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, now focused on building production AI systems that solve real problems at scale. Currently an 𝗔𝗜 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 at University at Buffalo, where I shipped a semantic search platform (𝘀𝘂𝗯-𝟭𝟬𝟬𝗺𝘀 𝗹𝗮𝘁𝗲𝗻𝗰𝘆, 𝟭,𝟬𝟬𝟬+ records), conversational AI systems, and multi-agent workflows using 𝗠𝗖𝗣 and 𝗟𝗮𝗻𝗴𝗚𝗿𝗮𝗽𝗵 across 8 research departments. Before that, I architected microservices handling 𝟱𝟬𝟬𝗞+ 𝗱𝗮𝗶𝗹𝘆 𝘁𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 at 𝟵𝟵.𝟵𝟵% 𝘂𝗽𝘁𝗶𝗺𝗲, built event-driven 𝗞𝗮𝗳𝗸𝗮 pipelines, and shipped 𝗥𝗲𝗮𝗰𝘁/𝗧𝘆𝗽𝗲𝗦𝗰𝗿𝗶𝗽𝘁 + 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁 platforms used by thousands of enterprise customers. 𝗥𝗲𝗰𝗲𝗻𝘁 𝘄𝗼𝗿𝗸 𝗜'𝗺 𝗽𝗿𝗼𝘂𝗱 𝗼𝗳: → 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗠𝗖𝗣 𝗛𝘂𝗯: Enterprise MCP server connecting AI agents to Jira, Slack, and SQL → 𝗪𝗲𝗮𝘁𝗵𝗲𝗿𝗪𝗶𝘀𝗲 𝗔𝗴𝗲𝗻𝘁: LangGraph + MCP agent deployed live on GCP/Vertex AI → 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁: RAG-powered analytics with LangGraph, deployed on Vercel 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲: → 𝗟𝗶𝘁𝗲𝗟𝗟𝗠 (BerriAI): 4+ merged PRs, fixed cross-pod MCP config drift (PR #21417) → 𝗦𝗵𝗶𝗻𝘇𝗼 𝗟𝗮𝗯𝘀: Shipped RBAC + analytics dashboards, cut API latency by 93% → 𝗔𝗱𝗲𝗻 𝗔𝗜: Contributing to a framework for self-improving AI agents I ship code in public. My GitHub and merged PRs show exactly how I work. 𝗦𝘁𝗮𝗰𝗸: Python, TypeScript, Java, C# | MCP, LangGraph, LangChain, RAG, PyTorch | React, Next.js, Spring Boot | AWS, Azure, GCP, Docker, Kubernetes, Kafka, PostgreSQL, Redis 𝗠𝗦 𝗶𝗻 𝗖𝗦, SUNY Buffalo (3.9 GPA) | AWS, Azure AI, and GCP Certified Open to SWE, AI/ML Engineer, and Applied AI roles. Let's talk: ksingh.gauravk@gmail.com

Member Since

March 2026

Links

GitHub — @gavksingh