Sai Nivedh V
AI & Full Stack Developer

I'm a passionate AI & Backend Developer currently pursuing my bachelor's degree in Computer science with a specialization in Artificial Intelligence at Amrita Vishwa Vidyapeetham. With a strong foundation in various programming languages and application development principles , I'm dedicated to creating innovative solutions that push the boundaries of what's possible in tech.
My expertise spans across Machine Learning, Web Development, and DevOps, allowing me to tackle complex projects from multiple angles. I'm always eager to learn and apply new technologies to solve real-world problems.
Skills
Languages
Machine Learning & AI






Databases

Web Development

DevOps


Cloud & Code Management
Other Tools
Experience
AI Engineer
Tech Profuse
June 2025 - present
one of the founding engineers to create a B2B real-time voice agent platform, for serving high concurrency at scale across the globe to drive revenues. migrated critical services from AWS to GCP, and set up CI/CD pipelines for multi-region deployment

Backend Developer
IdeaboxAI
Mar 2025 – June 2025
Work on the backend development team to upscale enterprise agents services

Student Intern
Incept AI
Feb 2025 – March 2025
Developed a system to address and fix the flaws in security copilot for the organization.

Software Development Intern
Binari Intelligence System Private Limited
Nov 2024 – Jan 2025
Designed a system to automate interview scheduling and skill assessments for candidates

Projects
Thala - ITSM for automated detection, classification, and resolution tracking.
an Intelligent incident management system for automated detection, classification, and resolution tracking. this is an efficient tool that integrates with existing developer ecosystem
Tumbleflow - design plugin
Built TumbleFlow, a self-improving design ops system that reduces friction in the designer workflow by connecting Notion and Figma to validate UI screens against product requirements, generate visual-attention insights, and apply AI-assisted design fixes with a persistent audit trail.
Godo - Opensource websocket load tester
Developed a A high-performance, native Go CLI tool for WebSocket load testing that leverages Go's efficient goroutines and channels for highly concurrent load generation. Library installation is available via go install github.com/SaiNivedh26/ws-load
Accessible AI - Sign Language Mapping
Engineered an innovative application for generating Indian Sign Language (ISL) videos from diverse media formats using Google Cloud Speech-to-Text for real-time transcription.
VerifyIt - Chrome Extension
Engineered a high-speed fact-checking Chrome extension using Flask, Google Custom Search API, Crawl4AI, and Gemini.
Deepfake Detection - Intel OneAPI Challenge
Designed and implemented a deepfake detection application using the ResNeXt-50 model, trained on the Celeb-DF (v2) dataset with 6,000+ samples, achieving 85% detection accuracy.
Femineh - Full stack Healthcare application
Developed a full-stack RAG application for personalized diet plan recommendations and food component analysis.
