Mar 2025 – Oct 2025 · 7 mos · Bengaluru, Karnataka, India · Hybrid

• Working on the Underwriting work station, solving for underwriters and underassistants by replacing manual work with tech and optimising workflows.
• Migrated Abacus platform from Flask to Go Gin framework, implementing
• concurrent processing, achieving 55% performance improvement
• Enhanced data processing by transitioning from pandas to polars, boosting
• rate plan calculation efficiency by 25%
• Integrated FirstConnect Broker with Salesforce CRM using REST APIs,
• reducing operational costs by $3M annually
• Deployed digital rater integration for automated premium generation,
• minimizing manual processing errors by 30%

Jan 2024 – Feb 2025 · 1 yr 1 mo

• Leading the database design and architectural design planning along with implementation of complex features and
• peer to peer code reviews.
• Initiated and Integrated unit tests for newly developed features using PyTest and established a boilerplate code for the team to
• follow the structure.
• Minimised per week production bugs by 80% ensuring smooth platform operations.
• Implemented complex features like feature attributes and initiated complex api's from being synchronous to asynchronous and event driven to reduce api latencies.
• Brainstorming with product team and cross team collaboration for developing and integrating services.
• Working on generating and uploading files upto a limit of 2GB by implementing signed url's and resumable and multiple chunking upload.
• Working on generating and uploading files upto a limit of 2GB by implementing signed url's and resumable and multiple chunking upload.

Jun 2021 – Dec 2023 · 2 yrs 6 mos

• Worked on Beam AI Product: https://app.ibeam.ai/
• ∗ Designed comprehensive database schemas, orchestrated scheduled and triggered asynchronous tasks, and
• engineered optimized APIs and functionalities, providing users with a seamless interaction experience on the
• platform.
• ∗ Implemented Google Pub-Sub to minimize the overhead of API calls and established an event-driven
• microservices architecture.
• ∗ Optimized database queries and API calls by 20% through the normalization of a database containing over 4
• million records.
• ∗ Proposed a product idea that involved efficient copying of sample properties, resulting in a 95% reduction in
• database storage and faster database query performance.
• ∗ Established the payments module to facilitate the automatic deduction of costs linked to user-created takeoffs,
• utilizing Stripe.
• ∗ Adhered to the Software Development Life Cycle (SDLC), supervised two team members, engaged in both
• high-level intra and inter-module engineering and product discussions, and actively contributed to peer-to-peer
• code reviews.
• Worked on Automeasure Product : https://app.attentive.ai/login
• ∗ Led the development of features, oversaw database maintenance, and orchestrated the management of the production server for the AutoMeasure Landscaping product. Created tailored APIs and functionalities to
• cater to the needs of over 200 companies in the landscaping industry.
• ∗ Reduced server CPU and memory utilisation from 60% to 10%.

Sep 2020 – Jun 2021 · 9 mos

• Worked on Deep Learning Algorithms like Instance segmentation and Semantic Segmentation on Aerial Images.

May 2020 – Jun 2020 · 1 mo · Noida, Uttar Pradesh, India