Mohit Varikuti
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Mohit Varikuti Email & Phone Number

ML and Backend Intern at TwelveLabs
Location: San Francisco Bay Area, United States 11 work roles 1 school
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✓ Verified Jul 2026 3 data sources Profile completeness 86%

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Role
ML and Backend Intern
Location
San Francisco Bay Area, United States

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Mohit Varikuti is listed as ML and Backend Intern at TwelveLabs, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Mohit Varikuti.

Mohit Varikuti previously worked as COO/President at Tri-Valley Aerospace Corporation and Research Writer at Medium. Mohit Varikuti holds High School Diploma, Computer Engineering, 11Th from Dublin High School.

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TwelveLabs

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Profile bio

About Mohit Varikuti

I am Mohit Varikuti, a 11th-grade student at Dublin High School in California with a deep passion for technology. I have developed my skills in robotics and software development through both my involvement in various clubs and competitions, as well as my extended professional experience. Currently, I do work for a 3d printed company where I use SLS and SLA manufacturing techniques, as well as develop slicing algorithms for non standard FDM techniques. Alongside everything else, I am also passionate about Al and machine learning, with a focus on developing algorithms using Python and R for algorithmic stock trading, as a general interest.Hackerrank #1 Functional Programming InternationallyHackerrank #4 Machine Learning InternationallyHackerrank #6 Cybersecurity NationallyLife Rank in Boy ScoutsTop 25 PicoCTF 20231st Place 2023 DEDA Entrepreneurship Competition3rd Place Flux.AI PCB Competition500+ Volunteer Hours45+ Published Research Articles

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Mohit Varikuti's current company

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TwelveLabs
Twelvelabs
ML and Backend Intern
California, United States
AeroLeads page
11 roles

Mohit Varikuti work experience

A career timeline built from the work history available for this profile.

Ml And Backend Intern

California, United States

Coo/President

Current

Dublin, California, United States

Tri-Valley Aerospace is a nonprofit focusing on aerospace engineering technological development, aeronautical and astronautical research, and engineering education advancement.

Mar 2024 - Present

Research Writer

Current

San Francisco Bay Area

- Conducted in-depth research on a variety of topics, spanning from technology and science to humanities, curating content that caters to Medium's diverse readership.- Authored and published multiple articles across several notable Medium publications, including: - MLearning.ai: Discussed the intersection of artistry and data science, emphasizing the importance of innovative problem-solving in code creation. - Python in Plain English: Contributed regular content on Python programming, reaching a vast audience of over 3.5M monthly readers. - ILLUMINATION & ILLUMINATION’S MIRROR: Shared diverse articles on a range of topics, contributing to the synergy of diverse domains and disciplines. - Towards AI: Engaged with the community on making AI concepts accessible to a broad audience. - AWS in Plain English: Offered insights and tutorials on AWS, Cloud, and DevOps. - Your tech, done better: Covered emerging tech trends, especially in Web3, DAOs, AI, Blockchain, and Cloud. - JavaScript in Plain English: Delivered content on JavaScript and web development. - Geek Culture: Contributed to this tech-focused publication under the Start it up umbrella. - Dev Genius: Authored articles related to various development aspects, from coding to UX/UI. - Investor’s Handbook: Provided investment insights, strategies, and education on diverse asset classes, from stocks to real estate and crypto.- Collaborated with editors and other writers for peer reviews, ensuring the content maintained a high standard of quality, coherence, and authenticity.- Regularly analyzed user feedback and engagement metrics to refine writing style and address trending topics that resonate with the readership.- Engaged with the Medium community through comments, discussions, and collaborations, fostering a vibrant and interactive reader-writer relationship.

Aug 2021 - Present

Artificial Intelligence Engineer

New York, United States

- Employed machine learning frameworks such as OpenAI and TensorFlow for advanced neural network modeling and deployment. - Architected the AI Dev Manager utilizing containerized solutions, enhancing the CI/CD pipeline for AI models. - Crafted state-of-the-art algorithms exploiting both supervised and unsupervised learning techniques to enable personalized and adaptive learning experiences. - Engineered anti-cheat and fraud detection systems by leveraging anomaly detection and deep learning methodologies, ensuring optimal platform security. - Spearheaded efforts in hyperparameter tuning and model optimization, enhancing efficiency in both training and inference phases. - Collaborated in the design and implementation of a feature store, streamlining the reuse of feature engineering efforts across projects. - Assisted in the evaluation and integration of cutting-edge NLP techniques to refine chatbot interactions and user feedback loops. - Regularly worked with with data engineering teams to ensure data accuracy, quality, and consistency for model training. - Stayed researched advancements in AI, actively prototyping with emerging tools and techniques to maintain the company's technological edge.

Sep 2023 - Jan 2024

Molecular Imaging Intern

Palo Alto, California, United States

- Collaborated with leading researchers at Stanford to create cutting-edge machine learning algorithms for molecular imaging, enhancing image resolution and interpretation by 30%. Contributed to coding in Python and TensorFlow, applying Deep Learning techniques. - Played a key role in three research projects, focusing on innovative molecular imaging techniques, resulting in two peer-reviewed publications. Assisted in experimental design, data collection, and analysis, contributing to both the theoretical and practical aspects of the work. - Worked closely with medical professionals to translate AI-driven molecular imaging research into real-world clinical applications. Assisted in the development of a prototype that is now being used in early-stage cancer detection. - Engaged in multifaceted collaboration between the Computer Science, Biomedical Engineering, and Radiology departments at Stanford.

Jun 2023 - Aug 2023

Ftc Robotics Programmer

Dublin, Ca

- Led a team of programmers in the development of autonomous and tele-operated robot control for FIRST Tech Challenge (FTC) competitions. - Collaborated with mechanical and electrical teams to ensure smooth integration of hardware and software components. - Mentored junior programmers and organized code review sessions to maintain code quality and efficiency. - Stayed updated with FTC game manual and rules, ensuring the robot's code met all regulations.

Feb 2021 - Aug 2023

Gfr Programmer

Dublin, California, United States

- Developed algorithms and control systems for VEX robots participating in various robotics competitions. - Collaborated with the team to optimize robot movements, sensor integrations, and achieve specific game objectives. - Conducted troubleshooting sessions post-competitions to refine robot actions and improve performance. - Assisted alternate drivers by providing insights into how the robot's software could be better utilized.

Feb 2022 - May 2023

Software Engineer

Dublin, California, United States

- Designed and implemented state-of-the-art machine learning algorithms to analyze stock market data, resulting in a 20% improvement in prediction accuracy. Collaborated with data scientists to fine-tune models and ensure alignment with company goals. - Led the integration of big data technologies for real-time data processing and analysis, enabling more robust decision-making processes for traders. Utilized tools such as Python, R, and Tableau for data cleaning, transformation, and visualization. - Engineered low-latency trading systems to facilitate high-frequency trading strategies, optimizing the software for minimal response times. Worked closely with quantitative analysts to ensure the solution met specific trading requirements. - Ensured that all algorithms and data handling met regulatory compliance standards, including GDPR and SEC regulations. Implemented security protocols to safeguard sensitive financial data, conducting regular audits and assessments to maintain integrity and confidentiality.

Feb 2021 - Nov 2022

Jpl Program

Pasadena, California, United States

- Assisted a team of leading aerospace professionals at NASA JPL in the development of robotic space exploration tools, contributing ideas and support in both design and testing stages. - Utilized cutting-edge technology to perform data analysis on satellite imagery, aiding in the discovery of new astronomical phenomena and providing key insights for ongoing missions. - Supported the design and fabrication of components for an experimental spacecraft, gaining hands-on experience in CAD design, 3D printing, and materials testing within a professional engineering environment. - Involved in NASA JPL's education and public outreach initiatives, creating and presenting engaging STEM content to inspire and educate local schools and community groups about space science and technology.

May 2022 - Aug 2022

Software Engineer

Youth Coding Workshop

Dublin, California, United States

- Designed and implemented educational software tools to facilitate coding lessons for young learners. - Collaborated with educators to understand requirements and ensure the development of user-friendly interfaces. - Conducted online training sessions and webinars to introduce the software to users and collect feedback. - Regularly updated the software to address any issues and incorporate new features based on user requests.

Oct 2019 - Mar 2020

Fll Robotics Captain

San Jose, California, United States

- Led a team of young enthusiasts in the FIRST Lego League (FLL) competitions, focusing on both robot design and core values challenges. - Organized regular team meetings, established objectives, and delegated tasks to ensure project completion. - Facilitated brainstorming sessions to ideate solutions to the yearly FLL challenges. - Coordinated with event organizers, mentors, and parents to ensure a smooth competition experience for the team.

Jan 2018 - Jun 2019
1 education record

Mohit Varikuti education

FAQ

Frequently asked questions about Mohit Varikuti

Quick answers generated from the profile data available on this page.

What company does Mohit Varikuti work for?

Mohit Varikuti works for TwelveLabs.

What is Mohit Varikuti's role at TwelveLabs?

Mohit Varikuti is listed as ML and Backend Intern at TwelveLabs.

Where is Mohit Varikuti based?

Mohit Varikuti is based in San Francisco Bay Area, United States while working with TwelveLabs.

What companies has Mohit Varikuti worked for?

Mohit Varikuti has worked for Twelvelabs, Tri-Valley Aerospace Corporation, Medium, Radicalx, and Stanford University.

How can I contact Mohit Varikuti?

You can use AeroLeads to view verified contact signals for Mohit Varikuti at TwelveLabs, including work email, phone, and LinkedIn data when available.

What schools did Mohit Varikuti attend?

Mohit Varikuti holds High School Diploma, Computer Engineering, 11Th from Dublin High School.

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