Gaurav Negi

Software Engineer

Kapurthala, Punjab, India10 mos experience
AI Enabled

Key Highlights

  • Reduced content creation time by 40% with AI integration.
  • Achieved 78%+ code coverage in backend development.
  • Improved response times by 30% in scalable microservices.
Stackforce AI infers this person is a Backend Developer with expertise in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Backend

Other Skills

GPT-4Amazon Web Services (AWS)Go (Programming Language)GolangTypeScriptNode.jsAWS EC2LangflowAstraDBNestJSExpress.jsMongoDBJavaSpring BootMySQL

About

I’m a Software Development Engineer (SDE-1) specialising in scalable, high-performance backend systems. I work with Java (Spring Boot) and Node.js (NestJS, Express) to build robust APIs and data-driven applications. I have hands-on experience in database optimisation, system design, and performance tuning using MongoDB, MySQL, DynamoDB, and Redis. I’ve also built AI-powered automation features and backend pipelines in production environments. I enjoy solving complex problems and continuously improving systems to make them faster, more efficient, and scalable. Software Engineer Backend Engineer Experience 1+ year 💬 Let’s connect, learn, and grow together!!

Experience

10 mos
Total Experience
10 mos
Average Tenure
10 mos
Current Experience

Arré

2 roles

Software Development Engineer 1

Aug 2025Present · 10 mos

  • Integrated GPT-powered title/description/script generation and automated background-music selection (S3), paired with a Slack review workflow and staged rollout — reduced average creator time-to-publish by 40% and boosted adoption of suggested metadata by 35%.
  • Proposed and designed Text-to-Speech (TTS) and Speech-to-Text (STT) features with complete architecture and documentation, enhancing accessibility and user engagement by 15%.
  • Established a background processing pipeline (OpenAI Whisper → GPT) to transcribe podcasts and
  • auto-generate highlight clips — cut highlight generation time by 80% and drove highlight plays up by 50%.
Artificial Intelligence (AI)GPT-4

SDE

May 2025Aug 2025 · 3 mos

  • Backend Development:-
  • Developed and maintained scalable backend microservices using Golang and TypeScript, improving response times by 30% and optimising core modules like search and comments, and playlist.
  • Developed a Node.js script to optimise user feed by automatically removing outdated and unwanted fields from Amazon Neptune DB entries older than 90 days, and scheduled the task using a cron job on AWS EC2, enhancing data relevance and system performance.
  • Constructed a basic version (PoC) of an AI assistant using Langflow and AstraDB to test the idea of a “best friend” chat experience, aiming to improve user interaction and engagement.
  • Added Google Image Search support, so users can find and add related images when creating a voicepod or voicepool, making their content more engaging.
  • Tech stack: Golang, Typescript, GraphQl, DynamoDB, NeptuneDB, S3, Redis.
Amazon Web Services (AWS)Go (Programming Language)Backend

Mrmed.in

Software Developer

Oct 2024Jan 2025 · 3 mos · Bengaluru · Hybrid

  • ◦ Contributed to core backend development for MrMed v2—delivered product APIs and authored unit tests, achieving 78%+ code coverage, improving response times and overall efficiency.
  • ◦ Architected a dedicated Pincode schema and delivery-date lookup API to return min/max delivery days;
  • added indexing to accelerate lookups and improve delivery estimate accuracy for users.
  • ◦ Built bulk upload APIs for CSV/XLSX item onboarding, reducing manual catalog operations significantly.
  • ◦ Implemented paginated listing search/filter APIs, improving discoverability and increasing successful
  • product finds by 20%. TypeScript, NestJS, MongoDB, Kubernetes, and Docker for efficient development.
NestJSTypeScriptBackend

Sociohood

Backend Developer

Jul 2024Sep 2024 · 2 mos · Kolkata, West Bengal, India · Remote

  • Worked as a Backend Developer Intern on BizHood, a CRM platform, handling core backend development using Node.js, Express.js, and MongoDB. Key contributions include:
  • Developed RESTful APIs using Node.js and MongoDB aggregation pipelines, reducing backend latency by 25% and improving feature responsiveness.
  • Optimised NoSQL queries with pagination and index tuning, reducing data retrieval time by 15% and
  • enhancing user-facing performance.
  • Constructed inventory-management features for vending machines, enabling owners to manage stock and restocking workflows more efficiently, saving 30–50% of time spent on inventory management.
Node.jsExpress.jsBackend

Education

Lovely Professional University

Master of Computer Applications - MCA — Machine learning and AI

DAV Institute of Engineering and Technology

Bachelor of Computer Application — Computer Science

Sep 2022Aug 2025

Model School G.I.C Hudoli Uttarkashi Uttarakhand

Senior Education - Science

Mar 2021Jul 2022

Stackforce found 100+ more professionals with Artificial Intelligence (ai) & Backend

Explore similar profiles based on matching skills and experience