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