Satvik Bhatnagar

Satvik Bhatnagar Email and Phone Number

Founding Machine Learning Engineer @ Pyxer Inc.
Sunnyvale, CA, US
Satvik Bhatnagar's Location
San Francisco Bay Area, United States
Satvik Bhatnagar's Contact Details

Satvik Bhatnagar work email

Satvik Bhatnagar personal email

n/a
About Satvik Bhatnagar

Hello! I'm Satvik, a highly motivated and passionate individual deeply invested in the world of Machine Learning and AI. Currently pursuing a Master's in Data Science at UC Irvine, I’m eager to apply my skills to real-world challenges. My strong academic background in Mathematics and Computer Science, earned through my Bachelor's at IIT Goa, nicely complements over 4 years of research and internship experience.Recently, I interned as a Machine Learning Engineer at Pyxer, where I gained invaluable experience with Diffusion Models and advanced computer vision techniques. My diverse skill set spans Machine Learning, NLP, Computer Vision, Deep Learning, Software Development, Probability & Statistics, and Databases.I am always open to new challenges and believe in the collective power of collaboration and teamwork. If you believe my background aligns with your organization's objectives, I'd love to connect and discuss how I can make a valuable contribution to your team. I'm actively seeking Full-Time Machine Learning, Data Science, or SWE opportunities starting January 2025. Feel free to reach out via LinkedIn or email at heysatvik@gmail.com :)

Satvik Bhatnagar's Current Company Details
Pyxer Inc.

Pyxer Inc.

View
Founding Machine Learning Engineer
Sunnyvale, CA, US
Website:
pyxer.ai
Employees:
5
Satvik Bhatnagar Work Experience Details
  • Pyxer Inc.
    Founding Machine Learning Engineer
    Pyxer Inc.
    Sunnyvale, Ca, Us
  • Pyxer Inc.
    Machine Learning Engineer Intern
    Pyxer Inc. Jun 2024 - Present
    San Francisco Bay Area
    • Successfully enhanced high quality image generation, leveraging a variety of advanced diffusion models optimized on top-tier GPUs which resulted in significant improvements in visual fidelity and processing efficiency.• Focused on Subject Identity Preservation and Virtual Try-On (VITON), conducting extensive research and experimentation with various diffusion techniques. This resulted in high subject image and prompt fidelity, significantly enhancing the outputs qualitatively. It also helped me develop deep expertise of how these models and pipelines work.• Created highly efficient image processing pipelines, combining various trained and pre-trained ML models, reducing the preprocessing time to a few mili-seconds from over 10 minutes.• Worked on automations that streamlined testing processes and ensured robust deployments.
  • Uci School Of Education
    Graduate Research Assistant
    Uci School Of Education Apr 2024 - Present
    Irvine, California, United States
    • Collaborated with the Chan Zuckerberg Initiative (CZI) to develop a large-scale AI tool using GPT-4 (LLM) API for assessing student responses, analyzing over 150K responses to date.• Deployed and designed the tool for scalability, enabling daily use by 40K+ students and teachers across 22 schools in the Anaheim Unified High School District.• Implemented concurrency and manual API requests to optimize a stopping API, reducing analysis time by over 10x.• Conducting extensive research and testing on LLMs using techniques like Topic Modelling, Fine Tuning, and Prompt Engineering for generating suitable themes from a student's response on an individual as well as class level.
  • Uc Irvine
    Graduate Student Researcher
    Uc Irvine Mar 2024 - Present
    Irvine, California, United States
  • Indian Institute Of Technology (Iit) Goa
    Machine Learning Researcher
    Indian Institute Of Technology (Iit) Goa Jan 2023 - Oct 2023
    Goa, India
    • Developed a Python architecture enhanced with CUDA to identify critical genes that contribute to the growth of certain cancer types, utilizing deep learning techniques on datasets comprising over 100M genetic sequences overall.• Designed a sparse deep neural network using Bayesian statistics with spike-and-slab priors, reducing the model complexity by over 80% and overcoming challenges like high dimensions but low sample sizes.• Achieved feature selection, maintaining an accuracy of over 97%, identifying only the key genetic markers in various synthetic, real-world, and STG Datasets, earning the distinguished A+ Grade as a BTech Project in the Spring Semester of 2023.
  • Gmo Research, Inc.
    Machine Learning Engineer Intern (Data Science)
    Gmo Research, Inc. Jun 2022 - Dec 2022
    Japan
    • Enhanced the Kaishukahi prediction system by streamlining data processing and employing advanced ML models like Autoencoders and K-means clustering, reducing processing time by 30% and prediction error by over 50%.• Leveraged MySQL and Apache Hive for efficient data management, ensuring data storage, retrieval, and manipulation.• Completed unit testing in C++ and Python, achieving 75% code coverage for legacy and new production code.• Analysed large-scale datasets from over 500M monitors spread across 20 countries and 195 panels, and presented actionable insights such as panel strategies using Power BI dashboards, projecting an increase in annual earnings by 100,000$ upon new model deployment.
  • Iiit Hyderabad
    Machine Learning Research Intern
    Iiit Hyderabad Feb 2022 - Dec 2022
    Hyderabad, Telangana, India
    • Developed robust NLP models in Python for spoken content information retrieval under non-native contexts, achieving a 25% better retrieval accuracy using techniques like CNNs, RNNs, transformers, auto-encoders, and attention.• Implemented techniques like transformers and auto-encoders in the acoustic model and fine-tuning the language model for automatic speech recognition (ASR), resulting in an enhanced transcription accuracy with a 15% reduction in WER% for non-native speech.
  • Mynerva
    Data Visualization Consultant
    Mynerva Mar 2022 - Apr 2022
    • Collaborated with the ed-tech startup to visualize KPIs like Revenue Distribution and Course Material Sales, using Tableau, improving revenue tracking by 5x.• Prioritized and organized the metrics and KPIs for dashboards on the company app and website and provided ideas for new metrics on which user data can be visualized.• Identified and implemented new metrics for user data visualization, leading to a 150% enhancement in sales visibility, user insights, and engagement with the analytics features for better decision-making.
  • Indian Institute Of Technology (Iit) Goa
    Summer Research Intern
    Indian Institute Of Technology (Iit) Goa Jun 2021 - Aug 2021
    • Incorporated Neural Ordinary Differential Equations (Neural ODEs) in Weather Prediction, leveraging their efficiency for time series analysis. • Applied insights from influential papers on Neural ODEs and Maximal Principle Based Algorithms for Deep Learning.
  • Google Developers
    Google Cloud Campus Facilitator
    Google Developers Sep 2020 - Nov 2020
    Successfully assisted over 100 students in mastering the Google Cloud Platform through the '30 Days of Google Cloud' Program as a Campus Facilitator at IIT Goa.

Satvik Bhatnagar Education Details

Frequently Asked Questions about Satvik Bhatnagar

What company does Satvik Bhatnagar work for?

Satvik Bhatnagar works for Pyxer Inc.

What is Satvik Bhatnagar's role at the current company?

Satvik Bhatnagar's current role is Founding Machine Learning Engineer.

What is Satvik Bhatnagar's email address?

Satvik Bhatnagar's email address is sa****@****arch.jp

What schools did Satvik Bhatnagar attend?

Satvik Bhatnagar attended Uc Irvine, Indian Institute Of Technology (Iit) Goa, Delhi Public School Indore - India.

Not the Satvik Bhatnagar you were looking for?

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.