I served as a Software engineer and development team lead for Adaptive Manufacturing system , that is used by 20K+ engineers across all Intel factories worldwide.

• Designed and implemented a cutting-edge equipment recipe management and material handling system using C# that runs on a multi-broker Kafka Cluster on Kubernetes, used by all Intel fabs.
• Developed next-generation automation systems for semiconductor factory processes, database applications and data analytics.

I served as a part-time Strategic Planning & Business Development Analyst at Keck Medical School of USC.

• Identify and visualize outliers by analyzing electronic health records and prescriptions using Natural Language Processing.
• Developed an Image Recognition model using YOLOv3 and OpenCV to analyze and locate the affected areas in chest X-Rays.
• Building open source data/metadata management systems for Keck medical dashboards using CKAN on top of Linux.

Worked as a software development engineering intern in AWS Security team who own responsibility of developing security checks for services and accounts under AppSec review.

• Designed a vulnerability assessment tool in Python to auto generate a threat model for services and accounts under review.
• Created security check analyzers for SQS and DynamoDB to determine possible threats and mitigations for AWS services used by the account.
• Implemented Canary tests and alarms in Java to monitor performance of data sources required in threat modeling.
• Streamlined the testing aspects of tool with new CLI commands, enabling developers to partially test AWS services.

Worked as a Data Analyst for for Peptide Sequence Analysis where I designed several Python modules to discover and analyze FASTA sequence patterns. Spectrometer data at CSIR Pune and datasets from InterPro and Pfam databases were included in building a robust database for CSIR researchers.

• Designed Python modules to analyze and find similarity in FASTA sequence patterns for specific protein families.
• Invented an ideal approach of patterns mining using Huffman Tree and data compression using Prime numbers that increased model efficiency by 17%.
• Gathered data from Spectrometer hosted at CSIR and datasets from Pfam and InterPro for generating a knowledge database.
• Built database is readily consumed by researchers and experimentalists to gain insights of medically relevant motifs.
• Used MapReduce programming model using PySpark and graph results are generated using Biopython.

I started my work as an Enterprise Resource Planning (ERP) developer where I developed Web API in Asp.Net to integrate several ERP modules over Service-Oriented Architecture (SOA). I also developed an Android application using Xamarin framework as per the back-end requirement of C#.

• Created software-oriented architecture using Asp.Net Rest API for integrating ERP modules of MIS, Finance and E-Procurement as part of an 8-member team.
• Produced an Android application in Xamarin with embedded ERP modules for remote use by scientists.
• For past 5 years, system has managed business and back-office functions related to technology, services, and HR.