Summary
Software engineer with experience in design and development of cloud native backend systems for large scale applications in healthcare, finance, gaming and data storage domain. Experience with architectural patterns for SaaS/distributed services. As a team lead, review the code and make design/architectural decisions.Education
1. Master of Science, Bioinformatics, (Northeastern University, Boston, USA), May, 2020 2. Bachelor Of Engineering, Information Technology, ( University Of Pune, Pune, India), May, 2013Skills and Technologies
Languages/Scripting: Python, Java, Golang, JavaScript (basic) Frameworks: Flask, Angular/React, Java Spring Boot, golang web frameworks, Tensorflow/Keras Tools/DB: Docker, Redis, Spark, Hadoop, Elasticsearch, AWS stack, MySQL, MongoDB, Airflow, K8s Skills:Domain driven design, Hexagonal architecture, Designing/porting microservice services, Map Reduce, REST APIs, Linux, cloud native solutions and scaling, AWS stack Course work: Statistics, Genome sequencing, Advance Algorithms, Machine Learning, Distributed computing, computation biologyAcademic Projects
MapReduce and spark: - Implemented PageRank algorithm on 40GB of data using hadoop map reduce paradigm in AWS EMR clusters - Goal was to understand distributed computation using map reduce paradigm and its limitations - Created a data processing pipeline using spark to understand the basics of distributed realtime computation using spark on big data (10GB of followers data) from Twitter - Goal was to understand the real time processing and understanding of spark computations and RDD concepts for in memory computation Equalization using GPU CUDA: - implemented Histogram Equalization using optimized GPU code in CUDA that provides the same functionality of the histogram equalization from OpenCV but can perform the algorithm faster NGS sequencing of genomics data: https://github.com/sohailchd/bioinformaticsMethods - Created a NGS genomics pipeline for sequencing of genomic data and annotation using BioPython. - Used bioinformatics tools for linux and python as scripting to create the pipeline and R markdown for reporting Pneumonia Detection using radiograph images: https://github.com/sohailchd/PneumoniaDetection - Goal was to detect pneumonia infection in patients using convolutional neural network (CNN) of radiograph images and create a prediction model to correctly identify the infection in patients - Achieved about 96% accuracy on augmented datasets of 20GB, used google colab and python for implementation, training and predictionsWork Experience
Phil (Senior Software Engineer) California, USA Sep 2020 to Present
- As a team lead, review and manage the team. Design/review the architecture for new services.
- As a backend engineer implemented core services across all verticals and domains, refactoring old system.
- Integrated external APIs (Truepill) for patient insurance, automated/optimized the insurance verification process. Improved SLA for processing up to 40% using claim automations.
- Creating POCs for new services, implementing them from scratch.(notification, inventory, medical API).
- Optimizations and performance improvement for scaling the platform around DB and load balancing based on the prescription profile.
- Lead the major client integrations and deliver the SLA on hard deadlines for stakeholders.
Technologies: Golang, AngularJS, MongoDB, K8s/Containers, AirFlow, AWS EC2, AWS SNS/SQS
Verys (Software development engineer) California, USA June 2019 to Dec 2019
- As a backend engineer, I contributed to the core system for the flight reservation system to be integrated with the cruise booking system. It was a new service to be implemented within the 6 months deadline.
- Help create the flight search logic using Elasticsearch as primary search engine for real time flights
- Middleware components for processing of flight booking objects and creating adapters for cruise booking system, code cleanup and optimization by reducing/consolidating API calls
Technologies: Java, Spring , AWS Services , MYSQL, ReactJS, Solr search, Elasticsearch
Druva (SDE / Data backup and discovery / Unicorn startup) India, Jan-2017 to Aug-2018
-Developed APIs for backup endpoint (PCs) and storage related services (AWS Glacier/ S3 / DynamoDB)
- Implemented cloudapps integration (Exchange mail/GDrive/Box) backup and restore APIs
- Created AWS cloud native services for compliance (HIPAA/PHI/Legal Hold) and post backup dedupe which improved the compression upto 10x, global dedupe strategy using S3/DynamoDB block hash
Achievements: Optimization of custom parser, reducing the data parsing job from 4 hrs to 30 mins
Technologies: Python, Golang, AWS, Terraform, Elasticsearch, DynamoDB, Flask
GSLabs (SDE / Chicago mercantile exchange) India, July-2015 to Jan-2017
- Design and implement microservice at scale for the stream processing of finance data, primarily using Java spring boot. Lead the team with initial POC and set up the project with design and arch.
- Cloud migration of the legacy service to spark for real time data processing(40k messages/sec)
- Talking to clients and stakeholder, managing a team of 5 people and growing the project
- Created a container based distributed scheduler for automated jobs. Used round robin strategy to schedule jobs, automate many manual processes for reporting, Saved hours human effort.
Technologies: Java, Spark, Redis, MongoDB, Linux, AWS EMR, EC2, S3, GIT
Ubisoft (SDET/ Gaming and Entertainment) India, July-2013 to July-2015
- Ubisoft connect is a platform for gamers. Contributed to the payment system and game store implementation.
- Improve the player experience for PC, Implement the third party integrations for the online game store
- Creating custom tools for the dev version of SonyPlayStation (PS4) and contributing to the game logging and performance metrics for the game under test.
Technologies: Python, Flask, C# .NET, window desktop forms, REST API