Angad Singh

Hi, I'm Angad

Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving complex and challenging real-world problems.

Open to Opportunities

About

I'm building MVPs for pre-seed startups working on cutting-edge fields like Agentic AI, Conversational Agents, RAG, and aligned technologies. With extensive freelance and open-source experience across multiple technologies, I specialize in full-stack development and have deep expertise in LLMs, transformers, and the underlying mathematics that power modern AI systems.

If you have an exciting project or role that aligns with my expertise, please reach out at my email or through any of my social channels.

Education

Vellore Institute of Technology, Chennai

2021 - 2025

B.Tech in Computer Science

CGPA: 8.81/10

Recent Experience

Professional journey

My work experience and career milestones

SmartInternz

Aug 2023 - Nov 2023

AI/ML Intern

Remote, India

Innovated a healthcare data analytics platform by integrating data sources, optimizing backend workflows, and implementing efficient ML algorithms using Python, Flask, and MySQL
Improved data processing efficiency by 30% and improved disease detection accuracy to 85%+ by streamlining ETL processes and optimizing SQL queries
Collaborated with front-end developers to design a user-friendly interface using JavaScript, integrating custom DL models for disease detection, resulting in a 20% increase in user engagement and enhanced platform versatility, employing Agile methodology

Skills

Python

JavaScript

C++

Java

Solidity

React

Next.js

TypeScript

Node.js

Express.js

Flask

FastAPI

TailwindCSS

Vite

MongoDB

MySQL

TensorFlow

PyTorch

LangChain

Groq

Web3.js

Git

GitHub

Prisma

Rust

GitHub Contributions

Recent Open Source

Community contributions

Contributing to the developer community and building in public

Attendee

Oct 2025

Contributed to an open source API for managing meeting bots on platforms like Zoom and Google Meet. Brings meeting transcripts and recordings into products in days instead of months.

Added DeleteCredentialsView to handle credential deletion functionality
Implemented delete-credentials URL route for the new view
Added delete button UI across 10+ credential templates (Deepgram, OpenAI, Gladia, Assembly AI, Sarvam, ElevenLabs, Zoom, Google TTS, Teams Bot Login, External Media Storage)
Wrote comprehensive documentation for credential management
Developed comprehensive test suite with 9 test cases covering successful deletion, invalid types, non-existent credentials, unauthorized access, credential isolation, and more
All tests passing with code quality checks approved (PR #430)

Python

Django

API Design

Testing

Documentation

Repository

Pull Request #430

My Projects

Check out my latest work

Full-stack projects showcasing my expertise in building scalable web applications.

Light Charity Foundation

Aug 2025 - Present

Freelance project for a nonprofit organization (ongoing, active development).

Built a full-stack blood/organ donation platform with React/Next.js frontend featuring 20+ reusable components, custom Framer Motion animations, and responsive design with light/dark themes.
Architected RESTful API backend with Node.js, Express, and MongoDB featuring JWT authentication, Google OAuth, role-based access control, and rate limiting.
Implemented real-time messaging system supporting 1,000 concurrent WebSocket connections with Socket.IO, connection pooling, and automatic reconnection.
Optimized database performance by 75% through MongoDB connection pooling and geospatial indexing, reducing search times from 2+ seconds to <500ms.
Deployed on Google Cloud Run with Docker for serverless auto-scaling. Integrated Google Maps API for real-time donation center discovery.

React

Next.js

TypeScript

Node.js

Express

MongoDB

Socket.IO

TailwindCSS

Docker

Google Cloud

Website

Executive AI Voice Agent System

Aug 2025 - Present

Built real-time voice agent system with Pipecat framework and Attendee meeting bot infrastructure, processing 16kHz audio streams via WebSocket connections with optimized VAD and supporting concurrent voice bots with conversation state management.

Built real-time voice agent system with Pipecat framework and Attendee meeting bot infrastructure, processing 16kHz audio streams via WebSocket connections with optimized VAD (Voice Activity Detection) using Silero analyzer, supporting concurrent voice bots with conversation state management across 3 phases (Initial Questions, Follow-up, Ongoing Facilitation), featuring smart turn detection and participant-aware audio routing
Developed meeting transcription and notetaker system using Groq LLM (Llama-4-Scout-17B) that processes meeting transcripts to generate 120+ word summaries, extracts 5+ action items per meeting, analyzes speaking time distribution, calculates sentiment scores, and provides effectiveness metrics (0-100 scale) with communication pattern analysis
Architected 102+ REST API endpoints across Next.js frontend and Express backend, integrating Groq LLM for email prioritization, task generation, transcript analysis, and chat functionality, handling batch processing of multiple emails and meetings with JSON repair mechanisms for robust error handling
Implemented encrypted voice bot transcription storage system in MongoDB with recurring meeting isolation using composite keys (meeting_id + date + time), tracking word counts, duration metrics, participant identification, and 95% confidence scores, with automatic transcription persistence and retrieval
Integrated Pipecat framework with Attendee API for bidirectional voice communication with real-time audio processing (16-bit PCM at 16kHz), implementing custom AttendeeFrameSerializer for per-participant audio routing, WebSocket connection management via FastAPI transport layer, Groq STT for speech recognition, Sarvam TTS for natural voice synthesis, and voice-enabled meeting bots that can speak, transcribe, and analyze meetings in real-time with participant awareness

Python

Pipecat

FastAPI

Next.js

Express.js

MongoDB

Groq LLM

WebSocket

Silero VAD

Groq STT

Sarvam TTS

Attendee API

Real-time Audio Processing

Voice Activity Detection

REST API

Demo

Cloud Cost Optimization CLI

Oct 2025 - Present

Developed a cloud cost optimization CLI tool for Google Cloud Platform that helps organizations monitor spending, identify optimization opportunities, and generate cost forecasts through automated analysis of billing data and resource usage.

Built comprehensive FinOps platform with 33 REST API endpoints and 5 service auditors for Cloud Run, Cloud Functions, Compute Engine, Cloud SQL, and Storage, processing billing data with 180-day historical analysis and 90-day cost forecasting
Integrated AI and machine learning features using Groq LLM and Prophet forecasting with 7 AI endpoints for cost analysis, anomaly detection, and automated recommendations with confidence intervals
Implemented data processing architecture with BigQuery integration, caching system (5-15 minute TTL), and async operations supporting multi-region analysis and automated PDF report generation
Created developer-friendly API with FastAPI backend, command-line interface (15+ options), and CORS support for frontend integration, managing 25+ Python dependencies for cloud cost management
Enabled cost optimization workflows through automated resource auditing, idle resource detection, over-provisioning analysis, and priority-based recommendations to help teams reduce cloud spending

Python

FastAPI

Google Cloud Platform

BigQuery

Groq LLM

Prophet

CLI

REST API

Machine Learning

FinOps

GitHub

Demo

Contact

Get in Touch

Always open to discussing new projects, creative ideas, or opportunities to be part of your visions.

GitHub