---
title: "Virat Srivastava - Software Architect in India | Tal"
description: "Meet Virat Srivastava, Software Architect @Starside Technologies | MTech AI based in India. AI stack includes anthropic apis, antigravity, and claude code. Explore public work links including github."
image: "https://tal.club/meet/virat-srivastava-1/share-image"
---

# Virat Srivastava on Tal

## Headline

Software Architect @Starside Technologies \| MTech AI

## About

Building StarSide Technologies core product \- Assemble It MTech in AI at Vellore Institute of Technology

## Location

India

## AI stack

anthropic apis

antigravity

claude code

claude

gemini

langgraph

## Work experience

Software Architect at Starside Technologies, Jan 2026 \- Present · 10 mos, Bengaluru, Lead the design and development of AI\-powered enterprise software platforms\. \- Architect backend systems using Python, Go, PostgreSQL, and AWS cloud infrastructure\. \- Develop workflow automation, compliance management, and document\-processing solutions for aerospace and engineering organizations\. \- Design and implement AI/ML pipelines, report\-generation systems, and intelligent decision\-support tools\. \- Define system architecture, microservices, APIs, data models, and security standards\. \- Manage software development lifecycle, including requirements analysis, planning, implementation, testing, and deployment\. \-Supervise and mentor junior engineers and coordinate technical activities across development teams\. \- Oversee cloud infrastructure, DevOps processes, scalability planning, and production operations\. \- Collaborate with stakeholders to translate business and regulatory requirements into technical solutions\. \- Lead research and innovation initiatives involving artificial intelligence, automation, compliance monitoring, and workflow orchestration\.

Agentic AI Engineer at FirstEigen, Aug 2025 \- Jan 2026 · 6 mos, Illinois, United States, Introduced Agentic and Python Workflows in Databuck's BuckGPT\. \- Designed and Develop Agentic Pipelines for Integrating with system Data for providing insights\. \- Designed and implemented Chatbot API key integration, enabling secure and scalable access to LLM services\. \- Developed Buck GPT v1 scheduler using LangChain and LangGraph, enabling automated and time\-based orchestration of AI workflows\. \- Designed and implemented the AI Summary generation feature, followed by enhancements including database persistence, robust error handling, and regeneration logic\. \- Built the Range Summary feature with database support, including intelligent reuse vs regeneration logic based on summary generation timestamps\. \- Designed and implemented Buck GPT v2 Intent Classification Pipeline, comprising 12 modular pipelines with: \- Variable processing logic per intent \- Database\-backed state management \- Embedding generation using three different embedding models \- Implemented Entity Classification as an extension to the intent classification framework to enable structured extraction and downstream rule\-based actions\. \- Conducted a comparative study of multiple embedding models, evaluating performance, accuracy, and suitability across different use cases\. \- Architected and developed a Redis–PostgreSQL hot–cold state system for intent classification: \- Redis for low\-latency hot state \- PostgreSQL for cold state archival \- Modular intent \+ entity classifier with rule\-book driven actions \- Full database logging of actions and decisions in a predefined schema \- Researched and devised multiple strategies for managing context window overflow in large\-volume range summary generation, ensuring scalability without loss of semantic accuracy\. \- Performed SMTP/IMAP protocol research and developed a mock implementation of an Email Agent for automated email ingestion and processing\. \- Developed and maintained the documentation for all developed features

Research Assistant at Vellore Institute of Technology, May 2025 \- Mar 2026 · 11 mos, Bhopal, \- Develop end\-to\-end retrieval\-augmented generation pipelines \(LangChain \+ Pinecone\) to fuse vector\-based document retrieval with LLM outputs, boosting answer relevance\. \- Architect agentic AI frameworks that orchestrate multi\-step “thought–action” loops, integrating custom tools \(APIs, DB queries\) for autonomous decision\-making workflows\. \- Drive master’s thesis research under faculty guidance—benchmarking transformer models, defining novel evaluation metrics for context\-aware agents, and publishing experimental insights\.

Co\-Founder at AntiProton Labs, Oct 2023 \- Jun 2025 · 1 yr 9 mos, Bhopal, At AntiProton Labs, I co\-founded a startup aimed to develop Ai based cargo transport through autonomous gait planning and hexapod development\. Utilizing ROS2 and NVIDIA Isaac Sim, we made significant strides in robotics and AI\-powered mobility solutions\.

## Education

Master of Technology \- MTech, Artificial Intelligence, Vellore Institute of Technology

Higher Secondary Certificate \(HSC\), Science, Mathematics and Computer Science, Campion school bhopal

## Public links

- github: https://github\.com/ViratSrivastava

[View the original profile](https://tal.club/meet/virat-srivastava-1)

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