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Venkata Chowdary

I build tech, debug life, deploy dreams!

Experience

Software Engineer (Founding Engineer, Early Team Member)

Inagent, Bengaluru, India

  • Led end-to-end development of an AI-powered B2B sales automation platform, owning backend systems, AI integrations, and production deployments.
  • Architected multi-agent workflows using LangChain, LangGraph, and MCP patterns for lead qualification, personalized outreach generation, and follow-up automation.
  • Built FastAPI AI services with Gemini 2.5 Pro (Vertex AI), LinkedIn enrichment pipelines, and background workers for scheduling, CRM sync, and webhook processing.
  • Improved response efficiency with Redis caching, integrated Gmail/HubSpot/Calendly/CRMs, and deployed containerized services using Docker and Kubernetes (Rancher).
  • Used LangSmith to trace and refine agent workflows and collaborated with sales, design, QA, and interns to ship customer-driven features.

Python

FastAPI

LangChain

LangGraph

MCP

Gemini 2.5 Pro

Redis

Docker

Kubernetes

HubSpot

Gmail API

LangSmith

Software Developer Intern

Inagent, Visakhapatnam, India

  • Contributed to foundational SaaS architecture using React.js, Node.js, Express.js, and MongoDB, delivering core product features.
  • Integrated REST APIs to establish reliable frontend-backend communication and maintain modular system design.
  • Experimented with early LLM integrations and agent workflows using Flowise while building platform features.
  • Prototyped automation flows and prompt-based classification for lead analysis and email drafting in collaboration with the CTO.

React.js

Node.js

Express.js

MongoDB

REST APIs

Flowise

Prompt Engineering

Projects

I've worked on a variety of projects, from simple websites to complex web applications.
Here are a few of my favorites.

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AI-Powered Mock Interview & Evaluation Platform

I built this platform to simulate real technical interviews and give candidates detailed feedback instantly. It uses resume-aware question selection with embeddings and Qdrant, supports both voice and text responses, and runs a structured LLM evaluation pipeline for scoring and reports. FastAPI background workers plus Redis caching helped cut response latency by about 40%.

FastAPI

LangChain

Qdrant

PostgreSQL

Redis

Gemini Embeddings

Web Speech API

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Trackly - Job Application Manager

Trackly started as a way to solve the chaos of job hunting. It pulls application emails from Gmail, uses AI to classify them, and organizes status, deadlines, and job details in one clean dashboard. I built it with Next.js, Prisma, and Clerk to keep the experience fast, secure, and easy to use.

Next.js

Prisma

Clerk

Gmail API

Instamojo

Gemini AI

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ConnectNow

ConnectNow is a real-time chat app focused on making conversations feel live and smooth. It supports instant messaging, group chats, and peer-to-peer video calls, along with features like typing indicators, read receipts, and emoji reactions. I also added OTP and JWT-based auth for secure onboarding and account flows.

ReactJS

ExpressJS

NodeJS

MongoDB

Socket.IO

PeerJS

Cloudinary

JWT

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DoubtDesk - College Doubt Solving Platform

DoubtDesk is a student Q&A community inspired by Stack Overflow. Learners can ask subject-wise questions, post answers, and earn points or badges when their responses help others. I focused on a clean, distraction-free UI with Next.js and ShadCN so the product feels simple and encourages consistent participation.

Next.js

ShadCN UI

Appwrite

Vercel

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Task Notifier

Task Notifier is a MERN-based task manager for planning day-to-day work without friction. Users can create tasks, set reminders, assign priorities, and organize activities by category. I included authentication, alerting, and sharing features so it works for both personal tracking and lightweight collaboration.

ReactJS

ExpressJS

NodeJS

MongoDB

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E-Commerce Platform

This e-commerce project covers the full shopping flow from browse to checkout. It includes product discovery, cart management, secure orders, and dynamic search, with inventory updates handled in real time. I built the backend with Node.js and MongoDB and used EJS for a lightweight, server-rendered storefront.

EJS

ExpressJS

NodeJS

MongoDB

Bootstrap

Skills

AI-first full-stack skills across application development, backend systems, and GenAI workflow automation.

Developer Activity

GitHub Activity

Contributions by @venkata-chowdary

Get in Touch

I’d love to hear from you! Reach out for collaborations or just a chat.