About Me
I've worked in various environments like finance giants, service-based IT companies, and startups.
Conducted several Proof of Concepts (POCs), which were then implemented as features in production.
Apart from work, I love solving problems on platforms like LeetCode, exploring new technologies, and participating in hackathons.
Work Experience (+ years)
- Worked in the SaaS team primarily on back-end.
- Developed multiple new features like Tax Declaration, Notification System, and Bank Reconciliation.
- Worked on the enhancement of the existing features like Invoicing and Social Taxes.
- Primarily worked in the Financial Backend team.
- Implemented direct-debit service for Norway (Avtalegiro) end-to-end.
- Developed services to generate daily reports (payment, loan acquisition, and balance) and annual (tax) reports.
- Supported operations teams across 4 countries with new features and automating existing manual tasks.
- Actively supported the on-boarding of new members in the team formation phase.
- Developed and maintained microservices written in Kotlin and Ruby on Rails.
- Developed CI/CD pipelines and deployed them on AWS using CloudFormation stacks.
- Supported local teams with peer reviews and pair programming on Python projects.
- Actively supported the on-boarding of over 10 new people in the team formation phase.
- Developed microservices with gRPC using Python.
- Used Jupyter Kernel Gateway for executing Python code on the fly.
- Developed web services using Django.
- KPMG (Client)
- Developed a POC on Named Entity Recognition and Entity Relationship Extraction using SpaCy and Neo4j.
- Worked on the Rapid Due Diligence project with data pre-processing and ETL scripts.
- Morgan Stanley (Client)
- Worked on the Alphawise project as a full-stack developer using Java (Spring) for the back-end and AngularJS 1.5 on the front-end.
- Developed a POC on Geospatial clustering using Python and Google Maps API.
- Developed and maintained utilities for data cleansing, validation, manipulation, and ingestion.
Hackathons
HCKBLK/20 (BlackRock), May 2020 (Global finalist)
Developed an extension to the employee portal to track the learning, development, and growth of employees' skill sets.
ZKM Hackathon, April 2018 (Winner)
Developed image classification, and similarity recommendation system using Google's Inception Model, Neo4j, Python 3 (Flask).
Xoriant Hackathon, December 2017
Developed a utility on Geospatial clustering using Google Maps API, Python 3 (Flask), and Vue.js.
Research Tech Hackathon (Morgan Stanley), May 2017 (Winner)
Developed a solution to automate the filtering and distribution of the Research Roster content using Python 3, AngularJS 1.x, DB2.
Smart India Hackathon, April 2017
Developed a solution for data deduplication using Python 3, Hadoop (MapReduce).
Xoriant Hackathon, December 2016
Developed a question-answer portal using Python 3 and MongoDB.
