Headline

Product Engineer@ Deloitte |Tata Communications Limited

About

I'm a Product Engineer with 3.5+ years building production-grade applications at Deloitte and Tata Communications, currently transitioning toward AI-focused product and engineering roles. At Deloitte, I led frontend architecture for an AI-powered payroll compliance platform serving 500+ enterprise clients, building a visual ETL pipeline editor with drag-and-drop workflow design, a data-lineage visualization system that cut dependency analysis time by 20%, and a streaming GenAI chat interface handling high-frequency token rendering without UI lag. I also designed an n8n-style agentic workflow builder supporting 8 workflow step types with partial execution and dry-run capability. Earlier, at Tata Communications, I owned frontend architecture for a secure enterprise communication portal, drove test coverage to 95%, and cut critical production defects by 50%. Outside client work, I'm building RecoverAI, a full-stack AI-powered collections platform for Indian NBFCs, end-to-end, from PRD to production deployment — because I wanted to understand product decisions, not just implement them. I specialize in React, TypeScript, and complex state-driven UIs: DAG editors, real-time data visualization, and GenAI streaming interfaces where performance and correctness both matter. I'm drawn to problems at the intersection of frontend engineering and AI-native product design, and I'm currently exploring opportunities where I can operate closer to that boundary.

Location

Greater Delhi Area

AI stack

claude

BentoML

tl;dv

Work experience

Product Development Consultant at Deloitte, Feb 2025 - Present · 1 yr 9 mos, Gurugram, • Owned and developed a modular payroll governance suite using ReactJS, MUI and TypeScript, reducing UI-related support tickets by 30% through reusable components, optimized layouts, and responsive design. • Implemented dynamic Role-Based Access Control (RBAC) and admin dashboards, integrating with REST APIs and real-time data layers, which improved enterprise adoption and cut access-related escalations by 40%. • Developed a multilingual, voice-enabled chatbot UI (Microsoft Bot Framework + Azure Speech SDK), boosting automated task completion by 40% and lowering call center volume by 35%. • Built data-intensive frontend dashboards with in-app charts (chart.js) and advanced tables, reducing dependency on external BI tools by 35% and increasing in-product analytics adoption. • Developed a secure, in-application file and workflow management experience with multi-step execution flows, and native file operations (upload, move, copy, delete), reducing operational handling time by 45%.

Frontend Developer at Tata Communications, Jun 2019 - Jul 2021 · 2 yrs 2 mos, Mumbai, Maharashtra, India, • Core Responsibilities: Development & Innovation, Product, API designing and implementation, performance optimization, and deployment of secure, scalable, and high-performance applications. • Developed a responsive ”CPaaS Portal” using ReactJS integrating MFA and Number Masking APIs for secure communication with optimized Client-Side Routing. Utilized MongoDB for efficient data storage. • Conducted unit and integration testing using Jest to ensure functional reliability and UI consistency. • Built and maintained the ECOF website’s UI for the TATA sales team, leveraging Javascript and ReactJS, and improved website performance by reducing page load times by 20% using code-splitting and lazy loading. • Designed and implemented REST APIs for Authentication (MFA) and Number Masking (anonymization) APIs, integrating them into Tata Communications DIGO’s serverless platform, enhancing communication security by 40%.

Summer Intern at Siemens, Jun 2018 - Jul 2018 · 2 mos, Bangalore, India, USER BEHAVIOUR ANALYSIS BASED ON USER CLUSTERING Guide: Ms. Srishti Dang (UXD-IN, Siemens) Objective: To cluster the users in order to analyze their cognitive behavior on the basis of attention span using the eye tracker datasets.

Summer Intern at Indian Institute of Technology, Delhi, Jun 2017 - Aug 2017 · 3 mos, India, MULTI-OPERATOR IMAGE RESIZING AND EVALUATION I in a team of two did this project under the expert guidance of Prof. Prem K Kalra (CSE Dept., IIT Delhi) Objective: To improve Content-Aware Image Resizing Method, i.e., Seam Carving, using multi-operators (Line-detector, Saliency, Object-removal, Scaler, Gradient, Graph Cut, Cropper) and Gaussian pyramid.  I created line detection, object removal, and gradient modules.  I also created the Graphical User Interface for better user interaction.

Education

Bachelor of Technology - BTech, Information Technology, Indira Gandhi Delhi Technical University for Women

Higher Education, Pysics, Chemistry & Maths, Indraprastha International School