Headline

Backend Developer @Riggle | Ex-ADP Data Engineer Intern

About

Final-year Computer Science student at Thapar Institute with hands-on experience in Python, Django, SQL, Tableau, and PySpark. Currently interning at ADP as a Data Analyst, where I’ve worked on scalable dashboards, KPI automation and large-scale data analysis (2M+ records). Skilled in backend development, data pipelines, and analytics systems, with projects involving full-stack data warehouses, REST APIs, and visualization tools. Strong foundation in Data Structures & Algorithms, OOP, and system design. Actively seeking SDE, backend, or data-focused roles where I can contribute to high-impact product teams, write clean and efficient code, and grow in a fast-paced tech environment. Let’s connect!

Location

Mumbai

AI stack

claude code

claude

Work experience

Backend Developer at Riggle, May 2026 - Present · 5 mos, On-site

Backend Intern at Riggle, Dec 2025 - May 2026 · 6 mos, Remote, • Real-Time Messaging: Architected a full-duplex WebSocket infrastructure using Django Channels and Redis to support private/group chats, threaded replies, and mention routing. • A/V Calling & Media: Engineered WebRTC-based voice and video capabilities (1:1 and mesh group calls) with TURN/STUN provisioning, alongside secure, two-phase media sharing via AWS S3. • Reliability & Security: Designed a dual-path notification service with Redis presence tracking (WebSocket/FCM fallback) to ensure reliable message delivery. Implemented JWT authentication, multi-tenant workspace scoping, and robust message status tracking. Skills: Django Channels · WebRTC · Redis · WebSocket · AWS S3 · System Architecture

Data Engineer Intern at ADP, Jun 2025 - Aug 2025 · 3 mos, Hyderabad, • Data Processing & Analytics: Processed and analyzed large-scale datasets (2M+ records) using PySpark and SQL to extract actionable business insights. • Workflow Modernization: Migrated and optimized legacy SQL workflows into Databricks-compatible scripts, improving overall data processing efficiency. • Pipeline Automation: Developed "EasyXL," an internal Python and Streamlit application that automated manual SQL-to-Excel reporting pipelines. This provided stakeholders with dynamic, chart-based data visualizations for faster decision-making. Skills: PySpark · SQL · Databricks · Python · Streamlit · Data Pipelines

Mentor at Frosh TIET, Jun 2023 - Apr 2024 · 11 mos

Team Leader at AIESEC, Jan 2023 - Jul 2023 · 7 mos, Patiala, Punjab, India

Member at Creative Computing Society, Nov 2022 - Aug 2023 · 10 mos

Member at AIESEC, Oct 2022 - Jan 2023 · 4 mos

Education

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

Grade 12, Math, Physics and Chemistry, excellencia junior college