Jan 2024 – Jun 2024 · 5 mos

• I focused on expanding my knowledge in key areas of technology and innovation. I pursued advanced courses in AI, blockchain, upskilled myself in distributed databases and systems and explored trends in emerging tech industries to stay up-to-date with the latest advancements.

Apr 2022 – Aug 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

• Managed a 10+ member cross-functional engineering teams comprising mobile, FE, BE developers in designing and developing features like HRMS, Student Report Card, Certificate builder
• Implemented agile methodologies with rigorous estimation exercises to reduce delay of feature releases by 80%
• Hired, coached and promoted software engineers and QAs
• Was awarded best EM while team was awarded best pod for delivery execellance
• Trained engineering teams on sprint process such as planning, refinement, stand-ups, reviews, and retrospectives. Improved efficiency, collaboration, and agile adoption for streamlined project execution and timely deliverables.
• As part of EEG team designed Tech doc templates, setup PR review process, maintained tech backlog and reviewed code and architecture of on going projects
• Tech stack- Python, Flask, Android, Nodejs, Reactjs, Kotlin, Kafka, Mongo, GCP, Graphana

Nov 2019 – Apr 2022 · 2 yrs 5 mos · Bengaluru Area, India

• Brief:- InApp team owns a service that delivers campaigns to Android/iOS devices or to Web sites through SDKs
• As a lead engineer I have designed and developed multiple features ensuring on-time delivery with help of 4 member team. Some of them are- InApp Presets, InApp client, InApp integration with Flows, AB Testing and Control Group
• Developed and maintained InApp service which handles a concurrency of 120k RPM at p99
• Setup different tools like newrelic, sentry, Graphana, redash monitor performance and application failures
• Tech stack- Python, Falcon, Java, Mongo, Kafka, radis, Kubernetes, AWS, Celery

Apr 2019 – Oct 2019 · 6 mos · Bengaluru Area, India

• Was responsible for grooming and onboarding new hires at Banglore location
• Built a Rule-Based Fraud-Detection system based on session information to display captcha during registration
• Developed & managed 10 odd micro-services written in NodeJs or Python. Worked on sails.js, celery and django.
• Fixed and improved data syncing between server(couchdb) and user's houm server(pouchdb) by implementing continuous syncing through websocket connection.
• Tech stack - NodeJs, Couchdb, Docker, Digital Ocean, Websocket, Python, Celery

Aug 2018 – Mar 2019 · 7 mos · Bengaluru Area, India

• Built a microservice architecture with NodeJs for REST APIs and falcon with celery for running machine learning services
• Implemented API rate limiting for Freemium and Paid users
• Built a file system module to store and retrieve user documents in google cloud storage
• Tech stack - Python, Mongo, NodeJS, JQuery

Jun 2017 – Mar 2018 · 9 mos · Bengaluru Area, India

• Project: Pervazive Predictive Analytics software suite
• Worked on Java and spark to add new features to the existing Predictive Analytics platform offered by Pervazive Inc to telecom operators used to predict network outages in advance
• Consulted and worked with Tech Mahindra to deploy Predictive Analytics platform and fine tune it to their available network data
• Client: Reliance Jio Infocomm Ltd - Project: Automation of outage analysis [Oct’17-Feb’18]
• Developed fiber optics network topology by improving and fixing GIS data using Neo4J Spatial
• Developed a front end website to locate outages on google maps
• Developed GIS algorithms on Neo4J to find and visualize alternate routes to an outage site(a site where fiber cut has occurred) from an active site

Jul 2015 – Mar 2017 · 1 yr 8 mos · Mumbai Area, India

• Inayo is a personal diabetes assistant app which enables a diabetic patient to lead a healthy lifestyle by providing access to Daily Tracking, Digital Logbook, AI Coach and personalized assistance.
• Inayo has raised ~$100k from marquee angel investors such as Zishaan Hayath and Amit Ranjan.
• Developed scalable infrastructure to handle 1000 daily active users.
• Tech Stack- Python, Django, Bootstrap, MySQL, RDBMS, Android, EmberJS, AWS, Celery, Google Fit

Nov 2014 – Jun 2015 · 7 mos · Hyderabad Area, India

• Client: Thomson Reuters - Project: IMS
• Lead a 5-member team to undertake production release activities such as branch merges, generating release notes, deployments, cluster upgrades
• Oversaw day to day issues in production ranging from code bugs, data inconsistencies, to cluster issues and was responsible for mitigating and resolving them on priority
• Automated daily recurring activities using shell script and java
• Oversaw and worked with team members to add, enhance and bug fix any code on a particular indigenously developed module- This module is responsible for data warehouse data generation by transforming and integrating raw data coming from various sources
• Provided consultancy and training to new hadoop projects and team members
• Tech Stack- Java, MySQL, HBase, Hadoop, Hive, Struts, Spring, Self Hosting, Cloudera, PostgresSQL

Aug 2014 – Nov 2014 · 3 mos · Hyderabad Area, India

• Cisco - Project: Social Media Analytics
• This project consisted of a small 4 member team with 2 persons on dashboard report design and 2 persons on data extraction and analytics
• Developed software to extract data from various social media sites like Twitter, Facebook, Tumblr. Later improved the code to work like an utility
• Developed hive scripts to calculate KPIs such as daily audience growth, daily reach, daily impressions, etc..
• Automated extraction and KPI calculation process using shell scripts

May 2011 – Jul 2013 · 2 yrs 2 mos · Hyderabad Area, India

May 2010 – Jun 2010 · 1 mo · Indore Area, India

• Pairs Trading – Strategy Development
• Assessed pairs trading opportunity in Indian Stock market by finding 20 co-integrated stock pairs from prominent sectors and designed trading strategy on ratio reversion and spread
• Optimization :
• Introduced Multiple thresholds for trade execution and increased returns by 70%
• Incorporated market sensitivity into ratio reversion strategy thereby reduced risk by 20%
• Obtained 45% weighted average annual return from Live testing of the model
• Techniques developed during the internship are being introduced in the market as independent commercial product for stock trading by company