Chiranjeev Singh profile photo 1 on Tal

Chiranjeev Singh

Engineering@ Microsoft | xSDE @Amazon, OYO | AWS AI/ML Scholar

Bengaluru

3+ years of work experience

Microsoft
Apr 20265 mosPresent

Bengaluru

Amazon
May 202511 mosMar 2026

Bengaluru, Karnataka, India

• Devised and executed a runtime resource allocation service, replacing hardcoded configurations with runtime S3-based caching, improving flexibility and maintainability across 10+ downstream services with 100% daemon uptime. • Implemented Dynamic Size Limiting for IMOS, reducing SEV-2 tickets by ~30% and improving Inquiry Dwell Time by up to 23 minutes per rejected request, while eliminating manual queue management. • Migrated a legacy grant management and creation service from Angular, CoffeeScript, and Ruby build systems to React Polaris with 100% uptime, reducing operational engineering load by ~15% and mitigating SAS risks. • Increased service success rate from 85% to 92% by introducing a timeout-aware spillover mechanism, efficiently discarding delayed requests. • Led internal AI/ML knowledge sessions on Neural Networks, Transformers, and GenAI, attended by 200+ employees across orgs, followed by interactive Q&A.
OYO
Jul 202411 mosMay 2025

Hybrid

• Led cross-functional development of a data pipeline using Azure ACS and Cognitive Services for a Call Center Automation bot, driving a projected 20% cost reduction for Belvilla and Dancenter. • Built a voice processing pipeline for a performance dashboard, achieving 86% sentiment accuracy on 1,000+ clips and improving issue resolution by 20%. • Improved digital audit efficiency by optimizing and migrating pipelines, boosting performance and reducing latency. • Optimized retrieval-augmented workflows for chatbots across multiple brands, increasing search speed by 15% and handling 2,000+ daily queries per department.
OYO
Jan 20246 mosJun 2024

On-site

• Engineered spatial clustering pipelines using DBSCAN and HDBSCAN to analyze user and hotel location data, identifying fraudulent bookings with a 4:1 true-to-false positive ratio. • Developed and optimized a GenAI model pipeline for hero image selection using advanced masking techniques, contributing to a 20% increase in hotel booking conversion rates.
Samsung Electronics
Oct 20229 mosJun 2023

Remote

• Led implementation of keyframe extraction and summarization workflows for video datasets, coordinating a team of four researchers.

Chiranjeev’s AI Stack

antigravity
antigravity
codex
codex
cursor
cursor

Education

Thapar Institute of Engineering & Technology

Bachelor of Engineering - BE, Computer Science

Thapar Institute of Engineering & Technology

20204 yrs2024

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Headline

Engineering@ Microsoft | xSDE @Amazon, OYO | AWS AI/ML Scholar

About

Hi folks! I’m Chiranjeev, a developer diving into the exciting world of generative AI and developer tools. I love tinkering, building, and learning as I explore how technology can create meaningful impact. Whether it’s collaborating on projects or leveling up my skills, I’m all about pushing boundaries and discovering what’s possible. Let’s connect and see what we can create together!

Location

Bengaluru

AI stack

antigravity

codex

cursor

Work experience

SDE (L60) at Microsoft, Apr 2026 - Present · 5 mos, Bengaluru

Software Dev Engineer at Amazon, May 2025 - Mar 2026 · 11 mos, Bengaluru, Karnataka, India, • Devised and executed a runtime resource allocation service, replacing hardcoded configurations with runtime S3-based caching, improving flexibility and maintainability across 10+ downstream services with 100% daemon uptime. • Implemented Dynamic Size Limiting for IMOS, reducing SEV-2 tickets by ~30% and improving Inquiry Dwell Time by up to 23 minutes per rejected request, while eliminating manual queue management. • Migrated a legacy grant management and creation service from Angular, CoffeeScript, and Ruby build systems to React Polaris with 100% uptime, reducing operational engineering load by ~15% and mitigating SAS risks. • Increased service success rate from 85% to 92% by introducing a timeout-aware spillover mechanism, efficiently discarding delayed requests. • Led internal AI/ML knowledge sessions on Neural Networks, Transformers, and GenAI, attended by 200+ employees across orgs, followed by interactive Q&A.

SDE 1 at OYO, Jul 2024 - May 2025 · 11 mos, Hybrid, • Led cross-functional development of a data pipeline using Azure ACS and Cognitive Services for a Call Center Automation bot, driving a projected 20% cost reduction for Belvilla and Dancenter. • Built a voice processing pipeline for a performance dashboard, achieving 86% sentiment accuracy on 1,000+ clips and improving issue resolution by 20%. • Improved digital audit efficiency by optimizing and migrating pipelines, boosting performance and reducing latency. • Optimized retrieval-augmented workflows for chatbots across multiple brands, increasing search speed by 15% and handling 2,000+ daily queries per department.

SDE Intern at OYO, Jan 2024 - Jun 2024 · 6 mos, On-site, • Engineered spatial clustering pipelines using DBSCAN and HDBSCAN to analyze user and hotel location data, identifying fraudulent bookings with a 4:1 true-to-false positive ratio. • Developed and optimized a GenAI model pipeline for hero image selection using advanced masking techniques, contributing to a 20% increase in hotel booking conversion rates.

Research Intern at Samsung Electronics, Oct 2022 - Jun 2023 · 9 mos, Remote, • Led implementation of keyframe extraction and summarization workflows for video datasets, coordinating a team of four researchers.

Education

Bachelor of Engineering - BE, Computer Science, Thapar Institute of Engineering & Technology