MS CS candidate at UC San Diego with experience in ML and software development. Developed ML systems at Sharebite, built enterprise applications at Goldman Sachs, and conducted LLM research on RNA sequences. Proficient in Python, JavaScript, React, AWS, and ML frameworks. Teaching Assistant for Software Engineering. Seeking SWE/MLE roles nationwide.
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Software Ml EngineerGoogleMountain View, Ca, Us -
Software Engineering Teaching AssistantUc San Diego Sep 2024 - PresentSan Diego Metropolitan AreaFall 24 - TA for CSE 210: Graduate Software Engineering with Prof. Thomas Powell -
Software Ml Engineering InternSharebite Jun 2024 - Sep 2024New York, United States -
Software Engineering Teaching AssistantUc San Diego Mar 2024 - Jun 2024San Diego, California, United StatesSpring 24 - TA for CSE 110: Software Engineering with Prof. Thomas Powell -
Graduate Student ResearcherUc San Diego Oct 2023 - Jun 2024San Diego, California, United StatesBuilding Neural Networks and Transformers to analyse RNA and DNA sequences at The Palsson Lab -
Summer AnalystGoldman Sachs May 2022 - Jul 2022- Designed and developed part of an internal product for 1000+ users using React.js.- Implemented and tested Rest APIs for integration into UI to display data and facilitate admin communication.- Performed component and integration testing with Cypress and JUnit maintaining 70% test coverage.- Leveraged Knowledge in React, Java, Rest APIs, Cypress, JUnit, Figma, Git, Agile. -
Mlops EngineerSkylark Labs Sep 2021 - Apr 2022- Designed a new improved and lightweight Inference Server architecture for on-premises local deployments.- Scaled Models for real life applications into the cloud using Docker and AWS ECS.- Developed Workers in Celery to be quick tested on applications using CherryPy.- Leveraged Knowledge in Python, Triton Inference Server, AWS ECS, PyTorch, OpenCV, MongoDB, CherryPy. -
Research InternBhartiya Vidya Bhavans Sardar Patel Institute Of Technology Munshi Nagar Andheri Mumbai Sep 2020 - Apr 2021Mumbai, Maharashtra, India- Initiated a project to enhance keystroke authentication by tracking a user's pattern and speed (90% accuracy).- Built machine learning models (KNN, Linear Regression) with cyber-security.- Deployed ML models on the web using AWS (Beanstalk and EC2) for further data collection and final testing.- Leveraged Knowledge in Python, Django, Scikit-Learn, Elastic Beanstalk, EC2, JavaScript.
Kashish Jain Education Details
Frequently Asked Questions about Kashish Jain
What company does Kashish Jain work for?
Kashish Jain works for Google
What is Kashish Jain's role at the current company?
Kashish Jain's current role is Software ML Engineer.
What schools did Kashish Jain attend?
Kashish Jain attended Uc San Diego, Bhartiya Vidya Bhavans Sardar Patel Institute Of Technology Munshi Nagar Andheri Mumbai, Spjimr Sp Jain Institute Of Management & Research, Lilavatibai Podar Sr Secondary School.
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Kashish Jain
Digital Marketing Specialist | Marketing Strategy | Brand & Campaign Management | Communications | Ex Creation TechnologiesBoston, Ma
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