Dec 2023 – May 2025 · 1 yr 5 mos

• Built Goldman Sachs ETF Accelerator.
• https://etfaccelerator.gs.com/
• Java, Spring Boot, Kafka, Mongo, AWS (ECS, Lambdas, Step Functions, S3, and the usual).
• OPA + Rego, Spring AOP, DataDog, SPIFFE, gRPC, Distributed and Idempotent Systems

Sep 2022 – Nov 2023 · 1 yr 2 mos

• Building Goldman Sachs ETF Accelerator.
• https://etfaccelerator.gs.com/

Dec 2021 – Aug 2022 · 8 mos

• Tech Stack:
• Data: Java, Python, Spark, TigerGraph, SQL
• Backend: Java + Spring Boot, Kafka, MongoDB, Splunk
• Designed the cash settlement process for Apple Buy Now Pay Later product from scratch on Cloud. Secure cross-VPC file exchange, custom asymmetric encryption (HPKE) and generic validation framework spanning data quality and integrity.
• Integrated all the Marcus products' (personal loans, business loans, cards, deposits) data models into common domain models for decision making, accounts and ledger; massively helped us in maintaining quality and consistency.
• Built a graph database from all Marcus customers PII data (encrypted of course) to identify relationships between customers from various product lines based on fraud parameters such as threat and risk over their geographic, employment and credit information.

Sep 2020 – Nov 2021 · 1 yr 2 mos

• Tech Stack:
• Data: Java, Python, Spark, Presto, Iceberg, Hadoop + HDFS
• Backend: Java + Spring Boot, Kafka, MongoDB, Splunk
• Redesigned the loan decisioning process from the ground-up with scope for n-stepped decision lifecycle, vendor-agnostic models, E2E encrypted messages and scale for 1M+ applications processed daily.
• Part of Marcus Data Platform team for easy onboarding data flows from a variety of sources to a variety of sinks. Supported distributed processing, bitemporal milestoning and near real-time alerts.
• Developed several stable ETL flows handling critical bureau, PII and credit data of 10M+ customers. Strong emphasis on secure and encrypted data exchange between internal teams as well as from external vendors into the firm's intranet.

Jul 2018 – Sep 2020 · 2 yrs 2 mos · Bengaluru, Karnataka, India

• Lead Python developer for an analysis and reporting application, Quantic, under the department Financial Performance Management (FPM), under Business Solution Center (BSC).
• Awarded BSC Star of the Quarter for Q1 2020.
• Quantic is inherently an internal framework built by us from the ground-up in Python to handle the ETL aspect, as well as pulling insights from the data based on our custom models.
• Quantic is also capable of performing its analysis on bigger sets of data by using PySpark on top of our SG BSC Data Lake.
• I played a key role in implementation and tuning of Quantic for the following divisions at Societe Generale:
• 1. Department of Finance - Transfer Pricing - Net Banking Income:
• Understanding the split of pricing and allocation of cost between various SG entities internally
• 2. SG Global Data Office:
• Analysis of quality of data of 4 Million+ third parties of SG Group on a monthly basis
• 3. Societe Generale Securities Services:
• Daily fund valuation of all the funds managed by SGSS in France, UK, Luxembourg and Ireland
• 4. SG International UK Treasury and Assets and Liability Management
• Monitoring of liquidity maintained by the treasury, with detailed analysis of funding received as well as the buffer maintained on a daily basis

Jan 2018 – May 2018 · 4 mos · Pune Area, India

• Worked under the guidance and mentorship of Credit Suisse as part of the Finance and Technology course at my college. Was part of a team of 46 fellow students, in charge of designing and coding a working model of the equities market processing orders in real-time.

May 2017 – Aug 2017 · 3 mos · Pune, Maharashtra, India

• Worked on a product to translate legacy code to its updated counterparts written in Java or leveraging microservices. Took advantage of Watson and Bluemix capabilities to achieve a translation accuracy of over 80%.

Jan 2015 – Apr 2017 · 2 yrs 3 mos · Pune

• Startup founded by a senior during college, focused at developing technological solutions for smaller private and local government clients.
• I joined Skyline Labs to gain more hands-on experience with backend software development and AWS. We also participated in multiple hackathons and won a contract to develop the geopositioning system of local bus transport system.