Jan 2025 – Apr 2025 · 3 mos · Victoria, British Columbia, Canada

May 2024 – Present · 1 yr 10 mos · Victoria, British Columbia, Canada

May 2024 – Aug 2024 · 3 mos · Victoria, British Columbia, Canada

• Teaching Assistant for the Undergraduate Capstone Project in Software Engineering (SENG 499)
• Prepared the design project, specifications, and deliverable plan.
• Evaluated presentations, assignments and the quality of the project application.
• Mentored students throughout the course duration.

Jan 2025 – Mar 2025 · 2 mos · Remote

• Participated in Lab2Market Validate Intern, Winter 2025 Cohort. Conducted interviews with industry experts to understand water quality monitoring challenges and current developments.

Feb 2022 – Apr 2024 · 2 yrs 2 mos · Hyderabad, Telangana, India

• Design, Implement and Maintain multiple RESTful web services such as Orders, Items and Inventory, Shipments, Notifications, Exceptions, Autopilot, Events etc., using Java Springboot, MongoDB, SQL, Elasticsearch, Kibana, Kafka, Messaging Queues, RabbitMQ etc.
• Responsible for debugging and mitigating multiple critical live production issues in <24 hours.
• Independently implemented an Order Management Solution (OMS) using deep linking for session transfer to Turvo’s biggest client's (Lineage) portal.
• A subject-matter expert(SME) on Turvo’s Search service built on a distributed Elasticsearch engine.
• Took the initiative to successfully implemented a sharding strategy for a search index, resulting in reduced search latency from 1300ms to 600ms.
• Reduced ES Search Cluster Average CPU Utilisation/15mins from 22% to 14%.
• Developed Jenkins jobs for data‑migrations from MongoDB to Elasticsearch cluster.
• SME on Turvo’s orders service. Responsible for designing, implementing, troubleshooting issues and maintaining service stability.
• Delivered a solution for tracking changes in an order’s history crucial for the audit trail.
• Release review committee member responsible for verifying and rectifying release code.
• Mentor to new joiners in the team. Responsible for knowledge transfer on Orders and Search services.

Mar 2021 – Feb 2022 · 11 mos · Hyderabad, Telangana, India

Jun 2018 – Feb 2021 · 2 yrs 8 mos · Hyderabad, Telangana, India · On-site

• Worked on the full-stack development and Migration process for Oracle's Energy Conservation Product "OPower", which used behavioural science, disaggregation, and AI to help people save energy.
• Migrated the product from the legacy platform (Astro) to a new platform (NextWeb) based on Typescript, for 150+ multi‑national utility clients of electricity, gas and water providers, with zero downtime.
• Worked in a team of 5 to develop the Home Energy Reports feature and all its front-end customisations, for various clients.
• Automated the service to bump widget library versions and enable Home Energy Survey Offline Editing before every product release, using RPA tools such as UiPath and Bash scripts, which reduced the latency of the system by 23%.
• Collaborated with cross‑functional team members and project managers across various time zones to gather requirements, optimized implementations, and successful deliveries for 150+ international Utility clients.
• Created an efficient system to integrate business functions such as marketing, consumption, billing, and inventory management to simplify the development and deployment process.
• Successfully delivered the launch of the Opower portal for a Japanese utility company as the primary engineer.

Jun 2017 – Jul 2017 · 1 mo · Jalandhar, Punjab, India · On-site

• Trained on Computer Networking fundamentals, TCP/IP, IPv4/IPv6 addressing, subnetting and Routing Protocols.
• Successfully designed an Enterprise Network with 30‑200 routers using the Cisco Packet Tracer simulator by dividing the network into backbone areas and non‑backbone areas using multi‑area Open Shortest Path First routing protocol to maintain connectivity at all times. Ensured uninterrupted connectivity even in case of a link failure b/w two routers by using a combination of physical and virtual links b/w routers.

Apr 2017 – Jun 2017 · 2 mos · Remote

• Researched on various Machine Learning models and their applications in Aviation Industry.
• Worked in a team of 3 to analyse the effectiveness of various deep learning models to predict departure delays in commercial flights. Presented the findings on XGBoost being the most effective model (75% accuracy) with a real predictive feature (actual departure delay). Analysed the performance
• increases of up to 15% using Deep Neural Networks.