Varun Bhaseen
Staff Software Engineer @ Apple
About
Bringing around eight years of experience with over two years of development experience in applied Data Science and over four years of experience as a Software Engineer in IT process automation. Currently trying to pursue roles where I can use skills from my previous work experience and combine them with the current data science knowledge in areas like RPA (Robotic Process Automation), AI-powered applications, and ML (Machine Learning) operations. I have experience in developing, debugging, and deploying state-of-the-art applied Machine Learning and Deep Learning models for different applications for a production environment. I am looking for opportunities that will help me develop solutions in deep learning and machine learning related to Computer Vision (CV), Generative Models, and Natural Language Processing (NLP) I have good development experience and skills in Functional Programming (FP), Design Patterns (GoF), Python, SQL, Keras, TensorFlow, PyTorch, SciKit Learn, Tableau, Matplot Lib, NumPy, Pandas. Hands-on technology experience in Docker, Git, Kubernetes, AWS EC2, Azure ML pipelines, Azure, GCP, Jenkins, Heroku, Apache, NOW platform, MySQL
United States
San Jose
Information Technology & Services
Finetuning, GenAI API Extensions, Jupyter, Apache Ray, Model Context Protocol (MCP), MCP (Multi Agent Protocol), GenAI, Large Language Models (LLM), Deterministic LLM Programming, Model Training, RISC, CUDA, Deep Learning, Data Science, Machine Learning, ITIL, Requirements Analysis, IT Service Management, IT Operations, Consulting
Experience

Data Scientist
Stanford, California, United States
Key responsibilities at Stanford Health Care: • Data warehousing, ETL, and OLAP on personalized health care database for pattern recognition • Feature identification, Data Amalgamation, and Data Analytics using Python Scripting + Tableau Server + Client-end Visualization (MatPlot Lib/Seaborn for dev env and Tableau for test & prod env) • Using AWS Redshift, AWS S3, and AWS Sage Maker for data management and initial ML operations • Develop and Improve message classification model (NLP-NLU) built on customized transformer neural network (branch of BERT) for MyHealth app (Including a combination of Voalte, EPIC, and Clinical/Nursing Messaging) • Primary project responsibility for the development and improvement of eForms application scan classification and bucket routing (Cardio, Nephro, Neuro, Psych, Lab, Clinical, etc.) using state-of-the-art OCR and BERT classification model. This will help in leveraging AI capabilities and help in the classification and routing of 300,000 forms/day in digital format for 52 HealthCare departments. • Debugging, A/B Testing and Fine-Tuning the model over its lifecycle • Collate and improve model prediction by adding new features to the dataset based on production data feedback and performance evaluations for Nursing and Ambulatory applications • Work in CI-CD and agile methodologies for model development • Key Technologies and Platforms used: Apache Spark, AWS Redshift, Tableau, AWS Sagemaker, Python, SQL, Tensorflow, Tensorboard, Scikit Learn, Matplot Lib, Seaborn, NumPy, Pandas, Spacy, Gensim, TF-IDF, BERT, Jenkins, Docker, Kubernetes, Git, OpenCV, MySQL, EPIC, ServiceNow, Voalte, Multi-Class Multi-Label Classification problems.

Teaching Assistant
San Jose, California, United States
My Primary Responsibilities were: - To evaluate the code submitted by each student and grade accordingly to a given rubric - To evaluate various submissions posted by students for given assignments, academic tasks, or an exam - Evaluate Technical writing and check for plagiarism

Software Engineer (RPA & ML-OPS)
DxSherpa Technologies
Pune Area, India
Key responsibilities and accomplishment at DxSherpa Technologies: • Executed two projects as a Robotic Process Automation (RPA) Solution Consultant • Developed ML application prediction modules and unit-tests and deployed them in four releases in critical business RPA application. This resulted in greater customer engagement and satisfaction by 12% • Developed and undertook A/B testing for a neural network (RNN) based text classifier module for Proprietary in-house RPA application. This resulted in faster incident and request routing to internal teams and reducing the workload of service desks by 30% • Worked in agile/scrum team models for various development sprint cycles with collaboration from business users, business analysts, development team, and QA team • Conducted two webinars on automation best practices for a global audience (YouTube playlist link is linked here) that helped to increase our market presence and bring in additional customers from two continents # Project: Developed Modules for Proprietary RPA Solution AutomationEdge # Project: Developed a resolver group classifier (machine learning module) for the RPA engine

Software Engineer (RPA-ITSM)
Pune, Maharashtra
Key responsibilities and accomplishments: • Identified automation opportunities for process automation using RPA solutions. Thus, reducing manual and repetitive work by as much as 20% for various IT processes (incident, request, and change management) • Executed seven projects related to ITIL process design, development, internal auditing, and process implementation for seven customers in different geographic locations from Caribbean Islands to the Middle East to India resulting in them achieving ISO 20000 and ISO 27001 certifications • Conducted four Webinars to present guidelines on various industry best practices for ITSM and Analytics • Executed more than 120 ITIL training and workshops across the globe for varied audiences # Project: Demarking of IT Infrastructure and support processes for Benefits company in the USA (August 2017 - March 2018) # Project: IT Operations Management for BMC software, Pune, India (May 2017 - July 2017) # Project: ISO 27001 Security Implementation, Telecom Software Company, Tirupati, India (July 2016 - April 2017) # Project: Implementing Operations & Transition processes for Retail Company in the Middle East based in Kuwait (January 2016 - June 2016) # Project: Assessment and auditing of Process for Tier 4 Cloud infrastructure company in Hyderabad, India (November 2015 - January 2016) # Project: Complete ITIL process implementation & Automation enablement in a Municipality in Saudi Arabia (December 2014-October 2015) # Project: Establishing IT Operations for leading Insurance Company in the Caribbean Islands (June 2014-November 2014)
Education

Computer Software Engineering
The courses and projects undertaken during this period are named below. Detailed project description can be seen in the accomplishment section for each of them below: - Reinforcement Learning (CMPE 260/CMPE 297-47): Stock Market prediction comparison - Emerging Technologies in AI (CMPE 297-49): MMoE Based YouTube Recommendation Engine - Deep Learning (CMPE 258): Image Caption using attention-based models - Applied Machine Learning (CMPE 257): Fake news detection - Software Systems Engineering (CMPE 202): Car rental website - Large Scale Analytics Project (CMPE 256): Identify and classify acts of cyberbullying on Twitter - Data Mining (CMPE 255): Classify Sub-Reddit post polarity - Enterprise Software Platform (CMPE 272): Whiteboard app for students and teachers
Varun Bhaseen's Contact Information
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