---
title: "Ritesh K Gupta - Software Engineer in Bengaluru | Tal"
description: "Meet Ritesh K Gupta, SDE @Tal By Grapevine | Research Intern’23 @Samsung R&D Bangalore | IIT Roorkee ’24 based in Bengaluru. AI stack includes aistudio, anthropic apis, and antigravity."
image: "https://tal.club/meet/ritesh-gupta-5/share-image"
---

# Ritesh K Gupta on Tal

## Headline

SDE @Tal By Grapevine \| Research Intern’23 @Samsung R&D Bangalore \| IIT Roorkee ’24

## About

I'm a full\-stack developer with a strong interest in system design and building at scale\. I enjoy thinking in terms of distributed systems — understanding trade\-offs, failure points, and performance under load\. I've worked across backend systems and AI\-driven applications, focusing on reliability, safety, and production readiness\. Beyond implementation, I aim to understand the “why” behind system design decisions and continuously improve how systems are built and scaled\.

## Location

Bengaluru

## AI stack

aistudio

anthropic apis

antigravity

claude code

## Work experience

Software Engineer at Tal: the app where bosses hire directly, Jun 2026 \- Present · 5 mos, Bengaluru, Karnataka, India

Software Developer \-Automation & Platforms at Microland Limited, Sep 2024 \- May 2026 · 1 yr 9 mos, Bengaluru, Karnataka, India, Built and deployed an AI\-powered ATS backend with a scalable async resume ingestion pipeline \(500\+ resumes/day\), enabling parsing, data extraction, and ML\-based candidate scoring\. Implemented semantic matching using Qdrant \+ Azure OpenAI embeddings and automated interview scheduling via Microsoft Graph API, reducing recruiter effort by \~60%\. Designed a workflow engine for end\-to\-end hiring lifecycle with job board integrations and real\-time analytics via Grafana\. Improved release reliability through CI/CD automation\. Developed an agentic AI video interview system using LiveKit and HeyGen, orchestrating a real\-time LLM–STT–TTS pipeline for low\-latency, adaptive interviews\. Designed a multi\-agent architecture for response evaluation, async scoring, and early termination, enabling \~80% automated candidate filtering and \~18% cost reduction\.

Next Gen Technology Cadre at Microland Limited, Aug 2024 \- Sep 2024 · 2 mos, Bengaluru, Karnataka, India

Research Intern at Samsung R&D Institute India, May 2023 \- Jul 2023 · 3 mos, Bengaluru, Karnataka, India, Evaluated ML\-based point cloud compression approaches for AR/VR streaming, comparing G\-PCC standard techniques with learned methods across compression efficiency and reconstruction quality\. Built an adaptive voxel\-based compression pipeline using a 3D CNN, achieving 40% reduction in file size and 25% faster transmission, improving real\-time AR/VR rendering performance\.

Web Development Team Lead at Corporate Interactions Group, May 2022 \- May 2023 · 1 yr 1 mo, Indian Institute of Technology ,Roorkee, Leading the Web development team of CIG IITR\.

Member at Artificial Intelligence and Electronics Society \(ArIES\), May 2022 \- May 2023 · 1 yr 1 mo, Indian Institute of Technology,Roorkee, Member of the Electronics Team\.

Web Developer at Corporate Interactions Group, Jul 2021 \- May 2022 · 11 mos, Indian Institute of Technology ,Roorkee, Full\-Stack Web Developer at Corporate Interaction Group IITR\.

## Education

Bachelor of Technology \- BTech, Electrical and Electronics Engineering, Indian Institute of Technology, Roorkee

Dakshana foundation

[View the original profile](https://tal.club/meet/ritesh-gupta-5)

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