Frontend / Full Stack Engineer | React · Next.js · TypeScript · Node.js · AWS | 50% perf gains in prod | AI/LLM interfaces | SDE2 @ Team Variance | IIIT Vadodara · Bengaluru, Karnataka, India
Frontend / Full Stack Engineer with 3+ years of experience shipping scalable, high-performance web applications in production SaaS and enterprise systems, with a growing focus on AI-powered product development.
At Team Variance (SDE2, current), I lead frontend architecture of a large-scale CRM and Operations Platform built on Next.js App Router, TypeScript, Tailwind CSS, React Query, and Zustand. I work across the full stack too, contributing to API design, backend integrations, and AWS infrastructure. On the AI side, I built a voice-enabled Sales AI Simulator end-to-end: integrated Claude API for dynamic conversational responses, RAG with ChromaDB for grounding context retrieval, and Sarvam AI for real-time speech-to-text and text-to-speech, generating per-session performance scores and coaching feedback autonomously. I'm also independently building Sales Copilot, an AI-powered field sales intelligence tool for FMCG brands, combining RFM scoring, market basket analysis, and SKU-level reorder and cross-sell recommendations on distributor sales data, with a Next.js dashboard and a Python data pipeline under the hood. I've also cut feature development time by around 40% through a modular component system adopted across the platform.
Previously at Reccopilot, I delivered a 50% reduction in page load time and 30% reduction in redundant API calls on a production SaaS platform through Webpack optimisation, lazy loading, code splitting, and React memoisation. I integrated OpenAI's text-embedding-ada-002 with Pinecone for semantic similarity search, built conversational AI interfaces with real-time WebSocket streaming for LLM-powered recruitment workflows, and shipped a Chrome Extension end-to-end using React, TypeScript, and Chrome APIs with Azure DevOps CI/CD.
On the AI/LLM side more broadly, I have hands-on production experience with Claude API, RAG pipelines, prompt engineering, real-time streaming interfaces, and voice AI integrations. Not wrappers around APIs but actual product features used by real users with real edge cases.
Core stack: React.js, Next.js, TypeScript, JavaScript (ES6+), Redux, Zustand, Node.js, GraphQL, REST APIs, WebSockets, Claude API, RAG, LLM integrations, OAuth 2.0, AWS, Docker, CI/CD, performance optimisation, RBAC systems.
Graduate of IIIT Vadodara (B.Tech CSE, 2024). Flipkart GRiD national finalist 2023.
Open to Senior Frontend or Full Stack SDE2/SDE3 roles at product companies building in AI, fintech, or developer tools. Remote-friendly or Delhi NCR/Bangalore. [email protected]
Open to
India
Work style
remote, on-site, hybrid
Availability
Available in 30 days
Degree confirmed by Indian Institute of Information Technology Vadodara, Modern Public School (MPS)
Contact details — on requestProof of Work — on request
Experience
Software Development Engineer 2
Team Variance · Apr 2026 – Present
Not yet confirmed
-> Leading frontend architecture of a large-scale enterprise CRM and Operations Platform on Next.js App Router, TypeScript, Tailwind CSS, React Query, and Zustand.
Designed a modular Web Component-based system that cut feature development time by around 40%.
-> Built a dynamic RBAC-driven UI supporting 10+ permission levels with zero backend roundtrips for access control.
Zero unauthorised access incidents since launch.
-> Moved core dashboards from 30s polling to sub-2s live updates using Server-Sent Events and optimistic UI patterns.
-> Integrated Laravel APIs across lead management, SLA tracking, and document processing workflows.
Platform runs on AWS (EC2, S3, RDS).
-> Independently building Sales Copilot, an AI-powered field sales intelligence tool for FMCG brands, combining RFM scoring, market basket analysis, and SKU-level reorder and cross-sell recommendations on distributor sales data.
-> Built a voice-enabled Sales AI Simulator end-to-end using Claude API, RAG with ChromaDB, and Sarvam AI for real-time STT/TTS.
The system autonomously generates per-session performance scores and coaching feedback for sales reps.
Software Engineer
Reccopilot · Jul 2024 – Jan 2026
Not yet confirmed
🚀 Excited to share my latest achievements at Reccopilot, where I led significant enhancements to ensure our application's responsiveness across all devices.
Utilizing React, Redux, and Material UI, I spearheaded the redesign to provide a seamless user experience, whether on mobile, tablet, or desktop.
My role involved adding innovative UI features and resolving dynamic UI challenges to meet our evolving business needs, significantly enhancing user interaction and satisfaction.
🔧 On the backend, I leveraged C# and .NET to develop and refine service code, notably automating email communications with candidates.
This automation greatly improved our system's efficiency and reliability, streamlining our communications process and reducing manual overhead.
I also took on various responsibilities, such as debugging, performance enhancements, and overall application stabilization, which contributed to a more robust and user-friendly platform.
📚 To further assist our users, I implemented React Joyride within our application, creating an interactive user guide that facilitates new user onboarding.
This feature helps new users navigate our platform effectively, ensuring they can leverage all functionalities from day one.
SDE - Intern
Reccopilot · Jan 2024 – Jun 2024
Not yet confirmed
During my internship at Reccopilot, I embraced the challenge of enhancing our data analysis capabilities through the innovative use of OpenAI's technologies.
I successfully implemented the text-embedding-ada-002 model to generate and integrate text embeddings into the Pinecone database system.
This significant upgrade boosted our similarity analysis, leading to more efficient data processing and improved decision-making capabilities within the company.
My role required a deep understanding of machine learning models and their practical applications, which I managed alongside our team of seasoned data scientists and engineers.
In addition to my work on data systems, I was actively involved in refining our application's frontend and backend.
On the frontend, I utilized React, Redux Toolkit, and Material-UI to develop a new feature that automatically identifies and extracts resumes from email attachments.
This innovation has streamlined our recruitment processes, enabling quicker and more effective candidate evaluations.
On the backend, I developed essential service code that enhanced the application's ability to fetch, search, and post data.
These improvements significantly increased the system's performance and scalability, proving vital in handling the growing data demands of our expanding enterprise.
V
Frontend Developer
Valenceware Services Private Limited · Feb 2023 – Jul 2023
Not yet confirmed
I have to work on developing a platform My Lynk where user can design his/her custom website and get a url for it.
Developed a robust coding architecture and ensured that all requirements were met through meticulous testing; reduced post-launch bug reports by 77%
Web Developer
Acmegrade · Mar 2022 – May 2022
Not yet confirmed
Worked on a similar to Snapdeal but more effective search and database management e-commerce site named Leamer Dealz.
User satisfaction increased by 35% as a consequence, and 90% of users gave favourable comments.