Apr 2024 – Jun 2025 · 1 yr 2 mos · Hyderabad, Telangana, India · Remote

Aug 2022 – Oct 2022 · 2 mos

• Trilogy University is a 3-month training bootcamp, to prepare new recruits for the challenges they will be expected to face as Software Engineers.
• Trained a team of 22 new recruits, conducting focused tracks on AWS, Machine Learning/Deep Learning, Kubernetes, Software Development Best Practices, etc.
• Successfully led and mentored two teams and a total of 6 people, delivering outstanding project results as both a dedicated team leader and individual contributor, demonstrating strong leadership and technical expertise.

Jul 2022 – Feb 2024 · 1 yr 7 mos

• 1. Hybrid Devspaces
• Hybrid devspaces is a cloud IDE running on Kubernetes
• Extended the system to support both ARM and x86 within the same EKS cluster
• Single cluster deployments reduced operating costs by 50% per customer
• 2. LLM Toolkit Platform
• Implemented the core vector search engine using elastic search and AWS Lambda, which could provide semantic, keyword and full-text search
• Lead the architecture design and pushed towards serverless, allowing the platform to scale to fluctuating demands, handling upto 5k RPS
• Designed and implemented a low latency reverse proxy using express.js and redis, for rate-limiting & monitoring. Optimized to an p90 latency of 4ms

Aug 2021 – Jul 2022 · 11 mos

• 1. CAP Insights
• CAP (Code Analysis Platform) analyse codebases and receive insights and developer coaching cycles
• Implemented support for analysing 3 new languages, Golang, Rust and Ruby
• Innovated and implemented a system for categorisation of issues into separate categories, such as security issues, performance issues, etc
• Technologies: Java, Kotlin, treesitter, Micronaut, postgres
• 2. Codeview
• Aggregated generated insights and presented them in a digestible format to executives
• Spearheaded a ground-up migration of the system, from a complex web of micro services to a lean, efficient monolith. The move resulted in the system's data throughput to rise more than 3x, at approximately 10% of the original operational costs
• Worked in close collaboration with our customers to redesign our dashboard. Embracing iterative delivery to design data-driven dashboards.
• Technologies: Typescript, express, react, AWS Athena, AWS Quicksight
• 3. Enhanced Logging
• Reduce the cost of logs in production Java systems, while also improving the usability of these logs
• Ideated the solution to use distributed tracing, to inject logs with trace ids that could be used to group logs together
• Runtime auto-instrumentation of Java byte-code, that did not require any source-code manipulation or code recompilation
• Observed close to 80% reduction in cost of logs, while improving the time for RCA

Jul 2020 – Aug 2020 · 1 mo · Pune Division, Maharashtra, India

• As part of the Global Remote Mentorship Program, I was involved in a project to develop a general purpose chat bot exposed to the public through various mediums and platforms
• Developed a scalable, extensible infrastructure for running and deploying the chatbout using Java
• Developed a chat bot trained on some specific use cases using IBM Watson
• Deployed the chat bot along with a data collection and extraction system onto IBM cloud
• Integrated the application with various platforms such whatsapp, SMS, VoIP, etc.

Apr 2020 – Jul 2020 · 3 mos · Mumbai, Maharashtra, India

• Created an intelligent, adaptive assessment for students to
• evaluate their skills. Sharp increase in amount of on boarded clients after the introduction of adaptive tests.
• Designed a scalable system, CI/CD pipelines and end-to-end
• test suite for full code coverage. Brought down average
• latency more than 2x and increased load capacity by 60%.
• Implemented services for metrics and load testing in Golang.
• Developed a real-time AI-based proctor system to flag
• suspicious behaviour during an online exam, using
• Tensorflow, with a response time of 12ms/request.

Feb 2020 – May 2020 · 3 mos · Pune/Pimpri-Chinchwad Area

• Research and implementation of state-of-the-art methods
• for facial tracking.
• Written using PyTorch framework. Read and implemented
• several existing research papers with a focus on
• reproducibility and network performance.
• Designed a completely novel Neural Network architecture
• for facial detection, focused on real-time speed. End result
• was 12% faster than previous benchmarks, capable of
• running at 200 FPS.
• Set up data collection and processing pipelines for the novel
• architecture.

Jul 2019 – Apr 2020 · 9 mos · Pune, Maharashtra, India

May 2019 – Jul 2019 · 2 mos · Pune, Maharashtra, India