Karanveer Sharma profile photo 1 on Tal

Karanveer Sharma

Software Engineer

Gurugram

3+ years of work experience

VectorShift
Nov 20258 mosJun 2026

New York, United States

• Reduced deployment execution errors by 95% by building a Kafka-based task queue in Go with graceful shutdown (no early exits mid-execution) and time-context-aware request handling, ensuring reliable in-order execution across distributed workers. • Redesigned webhook provisioning from manual UI creation to automatic pipeline-deployment time setup via state-driven updates. Added OAuth rate limits, incremental scopes, and per-integration webhook constraints for scalable multi-tenant automation. Built 10+ OAuth integrations end-to-end. • Added field types to table product including single select, multi-select, timestamp, decimal, and percent fields with comprehensive formatting options (currency symbols, date/time formats, decimal precision). • Implemented filtering and aggregation statistics functionality enabling advanced data analysis and custom calculations across table datasets. • Built data import/export capabilities for Excel and CSV files with automatic column data type detection, streamlining data migration and format conversion workflows. • Built an AI-powered tool that automates due diligence for M&A deals. Scans confidential deal documents, extracts key claims (revenue figures, legal entities, compliance data), automatically verifies them against uploaded evidence, flags gaps, and generates ready-to-send document request letters — reducing weeks of manual analyst work to minutes.
The Tarzan Way
Feb 202510 mosNov 2025

Noida, Uttar Pradesh, India

• Optimized third party api response by 25% by integrating redis cache reducing redundant network calls and enhancing throughput. • Engineered web socket connection in backend for communication of chatbot with frontend. • Developed and maintained web applications using Next.js and Redux, ensuring optimized performance, scalability, and a smooth user experience. • Optimized Redux store architecture, reducing load times by 20–30% and improving overall memory efficiency. • Collaborated with cross-functional teams in agile sprints to deliver high-impact features with a strong focus on performance optimization and user experience (UX).
LambdaTest is now TestMu AI
Oct 20222 yrs 5 mosFeb 2025

Noida, Uttar Pradesh, India

• Migrated complex client-side calculations from the frontend to the backend , resulting in a 25% reduction in page load times and significantly enhancing application performance and responsiveness. • Developed and deployed a dynamic Geolocation-based Proxy Assignment feature, improving targeting accuracy and location-specific services. Independently drove implementation, resulting in an estimated $5,000 infrastructure cost savings through efficient load distribution. • Architected and delivered a full-featured Internal Asset Management Tool spanning the entire stack — from frontend and backend to infrastructure with Docker, CI/CD workflows, and migration scripts. Collaborated with 3+ cross-functional teams including QA, Design, and DevOps to ensure timely and successful deployment. • Debugged and improved the video upload feature and decreased the errors in video uploading from 6% to 2%.
GitHub
@krnveersharma

Karanveer’s AI Stack

codex
codex
opencode
opencode

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Karanveer Sharma on Tal

Headline

Software Engineer

Location

Gurugram

AI stack

codex

opencode

Work experience

Software Engineer at VectorShift, Nov 2025 - Jun 2026 · 8 mos, New York, United States, • Reduced deployment execution errors by 95% by building a Kafka-based task queue in Go with graceful shutdown (no early exits mid-execution) and time-context-aware request handling, ensuring reliable in-order execution across distributed workers. • Redesigned webhook provisioning from manual UI creation to automatic pipeline-deployment time setup via state-driven updates. Added OAuth rate limits, incremental scopes, and per-integration webhook constraints for scalable multi-tenant automation. Built 10+ OAuth integrations end-to-end. • Added field types to table product including single select, multi-select, timestamp, decimal, and percent fields with comprehensive formatting options (currency symbols, date/time formats, decimal precision). • Implemented filtering and aggregation statistics functionality enabling advanced data analysis and custom calculations across table datasets. • Built data import/export capabilities for Excel and CSV files with automatic column data type detection, streamlining data migration and format conversion workflows. • Built an AI-powered tool that automates due diligence for M&A deals. Scans confidential deal documents, extracts key claims (revenue figures, legal entities, compliance data), automatically verifies them against uploaded evidence, flags gaps, and generates ready-to-send document request letters — reducing weeks of manual analyst work to minutes.

Software Engineer at The Tarzan Way, Feb 2025 - Nov 2025 · 10 mos, Noida, Uttar Pradesh, India, • Optimized third party api response by 25% by integrating redis cache reducing redundant network calls and enhancing throughput. • Engineered web socket connection in backend for communication of chatbot with frontend. • Developed and maintained web applications using Next.js and Redux, ensuring optimized performance, scalability, and a smooth user experience. • Optimized Redux store architecture, reducing load times by 20–30% and improving overall memory efficiency. • Collaborated with cross-functional teams in agile sprints to deliver high-impact features with a strong focus on performance optimization and user experience (UX).

Software Engineer at LambdaTest is now TestMu AI, Oct 2022 - Feb 2025 · 2 yrs 5 mos, Noida, Uttar Pradesh, India, • Migrated complex client-side calculations from the frontend to the backend , resulting in a 25% reduction in page load times and significantly enhancing application performance and responsiveness. • Developed and deployed a dynamic Geolocation-based Proxy Assignment feature, improving targeting accuracy and location-specific services. Independently drove implementation, resulting in an estimated $5,000 infrastructure cost savings through efficient load distribution. • Architected and delivered a full-featured Internal Asset Management Tool spanning the entire stack — from frontend and backend to infrastructure with Docker, CI/CD workflows, and migration scripts. Collaborated with 3+ cross-functional teams including QA, Design, and DevOps to ensure timely and successful deployment. • Debugged and improved the video upload feature and decreased the errors in video uploading from 6% to 2%.

Public links

github: https://github.com/krnveersharma