Aug 2023 – Jun 2025 · 1 yr 10 mos · Pune, Maharashtra, India · Remote

• FinTech Software product development - Investment Management Platform
• Designed solution to insert validation checks for financial transactions in client portfolios.
• Reduced manual computation time by 50% identifying automation opportunities.
• Coordinated end-to-end support to execute SDLC, scrum planning, two-week sprint management, product roadmap design, backlog re-prioritization.
• Communicated with stakeholders to identify issues & customer requirements. Translated business requirements to technical requirements & created PRD, FRD, technical specifications. Developed comprehensive test plans & BDD.
• Evaluated KPI. Examined data pipeline performance identifying trends, anomalies and issues.
• Regularly presented actionable insights ensuring alignment on client needs, product features, deliverables & timelines to optimize product strategy & Agile processes.
• Mentored developers & QA for testing, root cause analysis & resolution of issues.
• Conducted user training sessions. Presented simulation / demo to large audience

Sep 2022 – Jan 2023 · 4 mos · Menlo Park, California, United States

• Gathered and analyzed requirements for Instagram conference call feature, added swipe control on feeds.
• Feature usage increased by roughly 23%
• Optimized python scripts to remove redundancies keeping the functionality intact. Improved runtime by 50 s.
• Communicated with global team members for troubleshooting & deployment.
• Provided performance optimization for backend. Impovised python unit tests, php and javascript codes.
• Supported code migration from Java to Kotlin.

Jan 2022 – May 2022 · 4 mos · Chesterfield, Missouri, United States (Remote)

• Developed predictive model for corn yield using ML achieving 0.92 AUC. Shared insights with team and client.
• Conducted big data analysis through GCP BigQuery using SQL, Pandas and Python packages.
• Collaborated with global and regional teams and stakeholders to gather data and technical requirements.
• Presented the results using graphs and visualization.
• Completed the project before promised timeframe in-spite of technical difficulties and delays. Accelerated delivery making developmental changes keeping timeliness in mindExperimented based on the discussion as well as statistical outcomes. Documented all findings and prepared the training manuel.

May 2021 – Aug 2021 · 3 mos · Los Angeles, California, United States · Remote

• Created an application to predict forex, stock prices and cryptocurrencies, using ML algorithms.
• Queried, manipulated and analyzed financial market data from REST API. Performed data cleaning, feature selection.
• Tracked progress using Jira in Agile environment. Generated performance graphs as per client requirement.
• Added YAML script support for handling inputs.
• Explored Regression algorithms using Gaussian Processes, Decision trees, Support vector machine(SVM), LSTM
• Tested various data on the algorithms performing best model selection.
• Performed data cleaning, feature selection, using Pandas, Numpy, Scipy and Scikit-learn libraries.

Jan 2020 – Dec 2020 · 11 mos · Los Angeles, California, United States · Remote

• Added support for brain region connectivity visualization in 3D format for BrainSuite software developed by Signal and Image processing Institute, USC.
• Implemented visualization for a brain extracted from MRI scan.
• Explored deep learning algorithms for brain extraction from MRI scan.
• (MATLAB and Python)
• under guidance of Dr. Anand Joshi

Jul 2018 – Oct 2019 · 1 yr 3 mos · Bengaluru Area, India

• Contributed to Android Open Source Project (AOSP) in IMT business unit which works for Google.
• Surveyed methodologies referring various research papers. Presented the results by creating reports and charts.
• Automated software output testing using Python, shell and perl script.
• Benchmarked 3D filters by developing android application in Java and C++.
• Resolved issues by communicating with team. Enhanced efficiency by 14% by fixing bugs.
• Summary: Media-Filters
• Application takes RGB or yuo video as an input, with resolutions 420p, 720p, 1080p, HDR, 4K.
• This interface is implemented in Java. Function calls to process the video are implemented in C++ using openGL ES and Vulkan. Video is processed using a shader written in GLSL, and displayed as an output.
• Implemented effects: Rotate, Negative, Lomo, Saturate, Sepia, 3DLUT lookup etc.
• Details:
• Implemented and evaluated media filters in Android with the intent to assess feasibility and define the scope of comprehensive media filter assessment and implementation project(s).
• Developed an Android application that uses and evaluates the performance of filters for video sequences (YUV 420 in/out , RGB in/out).
• Identified filters that use GPU via OpenGL APIs – one each of low complexity, medium complexity and high complexity among the existing OpenGL filter implementations available in Android (from Media Effect). Implementd the same 3 filters using GPU via Vulkan APIs.
• Evaluated their performance and power for 720p, 1080p and 4K sequences on a high-end phone (e.g. Pixel 3), a mid-range phone (e.g. Pixel 1) and a low-end phone for both the OpenGL and Vulkan filter implementations.
• Other-
• Enhanced quality of video codecs, by adding support for 8x4, 4x8, 8x8 sub-partitions for motion compensation; working in a team.

May 2016 – Jun 2016 · 1 mo · Nashik

• Learnt algorithms for automobile parts selection and bus terminal digital display system.
• Assembled two circuit boards from scratch, involving component selection and PCB soldering.