Experienced Software Developer and a Data Scientist with demonstrated experience working in the software industry. Skilled in Software Development and Design, Large Language Models, Deep Learning, DevOps, Machine Learning, Kubernetes, Data Science, Statistics, Python, Golang, and Natural Language Processing/ Understanding.
Experience
Microsoft
Software Engineer II/Data Scientist
January 2021 - Present (3 years 11 months)
New York City Metropolitan Area
Working on the Azure Core Compute Customer Insights and Analytics Team with the mission to analyze customer journeys and behaviors, enhance the Azure ecosystem, and improve user experience.
Developed Azure support ticket summarization and root cause analysis service. The service generates summaries and insightful Q&A’s through a multi-agent DERA (Dialog Enabled Resolving Agents) based framework that leverages Azure Open AI services. The tool assists Azure product managers and service owners in analyzing Support Tickets at scale and managing and prioritizing backlog effectively.
Created a scalable infrastructure in Azure Kubernetes Services (AKS) with 30 independent Azure OpenAI services. This infrastructure prevents teams from getting bottlenecked by Open AI API/throttling limits.
Improved Azure Support Topic Recommendation Service (Wayfinder) with a 3-point coverage increase, 1-point accuracy improvement, and 60% latency reduction.
Designed and deployed a CI/CD pipeline for Wayfinder and Azure Service Recommendation Service (Service Predictor), reducing maintenance costs by 12% and freeing up resources for Azure.
Served as backend lead for Azure Case Submission Autosuggest service, from design to deployment.
Led Azure workload identification project, collaborating with teams across Azure Core and developing an automated algorithm for resource clustering and prioritization of backlog items to reduce churn.
Implemented, and deployed an IcM Team Prediction Service based on Azure Cognitive Search Service in AKS.
IBM
Cognitive Software Developer/Data Scientist
June 2018 - January 2021 (2 years 8 months)
San Francisco Bay Area
Build Machine Learning and Deep Learning models to classify multidimensional time series data from network transfer sessions into multiple labels.
Develop Real-Time Anomaly Detection Models for network transfer sessions using LSTM and Autoencoder Decoder Models.
Use Semi-Supervised models for network transfer sessions to take advantage of a large amount of unlabeled data.
Design software components and work as a backend developer for IBM Aspera's Automation module.
Led the Centralized Control Plane Hill for IBM Aspera in line with IBM's Cloud Pak for Integration as a Service initiative.
Create microservices and open service brokers for IBM's Cloud Pak for Integration as a Service initiative.
Work with customers and partners to identify problems, enhance features, and troubleshoot issues.
University of California San Diego
Graduate Teaching Assistant
March 2017 - April 2018 (1 year 2 months)
Greater San Diego Area
Graduate Teaching Assistant for PSYC 60: Introduction to Statistics (Winter 2018)
Graduate Teaching Assistant for CSE 103: Introduction to Probability & Statistics (Fall 2017)
Graduate Teaching Assistant for ECE 109: Engineering Probability & Statistics (Spring 2017)
IBM
Machine Learning/Deep Learning Intern, Global Chief Data Office
June 2017 - September 2017 (4 months)
San Francisco Bay Area
Classified companies as Government Owned Entities or not using IBM's Cognitive Enterprise Data Platform.
Built NLP models in Python with Genism, Spacy, NLTK and other NLP libraries and Machine Learning Algorithms like Gradient Boosting and Random Forest.
Used Tensorflow to develop Deep Learning Models with Convolutional Neural Network Architecture for NLP and word/doc embedding’s from Doc2Vec/Word2Vec pretrained and trained models.
Education
University of California, San Diego
Master’s Degree, Electrical and Computer Engineering with specialization in Machine Learning and Intelligent Systems · (2016 - 2018)
Indian Institute of Technology, Guwahati
Bachelor’s Degree, Majors in Mechanical Engineering and Minor in Computer Science and Engineering · (2012 - 2016)