Aditya Kesavan Email & Phone Number
Who is Aditya Kesavan? Overview
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Aditya Kesavan is listed as CS @ Georgia Tech | ML Engineer at PocketPod (YC W24) | Ex. AWS, Lockheed Martin, GTRI, Taxonics at PocketPod (YC W24), based in Atlanta, Georgia, United States. AeroLeads shows a matched LinkedIn profile for Aditya Kesavan.
Aditya Kesavan previously worked as Machine Learning Engineer at Pocketpod (Yc W24) and Cloud Engineer Intern at Amazon Web Services (Aws). Aditya Kesavan holds Master Of Science - Ms, Computer Science: Machine Learning from Georgia Institute Of Technology.
Email format at PocketPod (YC W24)
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About Aditya Kesavan
Fourth-year Computer Science student at Georgia Tech, specializing in Artificial Intelligence and Information Internetworks, with a keen interest in Machine Learning, Cloud Computing, and Automation. My role as a Machine Learning Operations Intern at GTRI involved assisting in developing an award-winning MLOps training platform and Infrastructure-as-Code (IaC) solutions. I am committed to continuous learning and thrive on applying these skills to solve complex issues. Seeking a Fall 2024 Software Engineering Internship Role.Languages: Python, Java, SQL, JavaScript/TypeScript, HTML, CSSFrameworks/Libraries: React, Express, Node.js, Flask, Qt, Next.js, Tailwind CSS, Bootstrap, pandas, NumPy, matplotlib, NLTK, Selenium, Beautiful Soup, TensorFlow, Keras, PyTorch, scikit-learn, openpyxlPlatforms/Tools: Heroku, Git, GitLab, Linux, Docker, AWS, Salesforce, Jira, KubernetesProject Management/Collaboration: Agile, Scrum, Graphic Facilitation, CRMFeel free to contact me at: adi.kesavan@outlook.com
Aditya Kesavan's current company
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Aditya Kesavan work experience
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Cloud Engineer Intern
Software Engineer Intern
- Secured the 2023 IRAD of the Year Award for developing the MLOps training platform, used by all 8 labs, erasing image annotation budgets for internal teams and accelerating model development/deployment by 10x
- Developed MLOps Infrastructure-as-Code for visual inspection, image and emitter classification, random forest, and audio identification, decreasing deployment time by 92% leveraging Python, Pachyderm, Label Studio, and.
- Implemented a custom monitoring dashboard… Show more
- Implemented a custom monitoring dashboard using the MERN stack, Python, Kubernetes, Docker, and Pachyderm enabling real-time tracking of model staging, improvement/statistics, and resource utilization Show less
Software Engineer Intern
- Saved 2500+ hours annually by engineering an app to debug/visualize unstructured THAAD logs, using regex matching, search tools, and interactive timelines; eliminating manual sorting and accelerating error identification
- Achieved a saving of $300,000+ by expanding the tool’s capability, shifting THAAD & NGI test analysis from 2 weeks to 1 hour, through data analytics algorithms, parallel processing, and optimized query performance
- Enhanced code quality by 65% and improved… Show more
- Enhanced code quality by 65% and improved test coverage rate by implementing CI/CD scripts for lint, build, and deploy stages, and creating unit tests in C/C++ for THAAD launcher code Show less
Applied Embedded Systems Intern
- Launched a React-based advanced analytics platform with Node.js, Express, MongoDB, and Flask, transforming ALQ/ALR/RWR data handling; centralized data logging with 500k+ annual entries and 30+ internal users
- Created Python scripts reducing J-PRIMES run sheet generation time from 3 months to under 5 minutes, allowing the engineering team to immediately analyze test performance data and iterate on improvements
- Engineered a database-driven manual entry system, automating data… Show more
- Engineered a database-driven manual entry system, automating data structuring/validation to replace Excel; reduced processing time by 70% (zero manual errors), ensuring data integrity for high-stakes defense analytics.
Application Development Intern
- Developed a TypeScript/Next.js web dashboard for commercial real estate, offering tax projections, real-time assessment comps, and jurisdiction insights; gained 20+ clients post-launch and $1.5MM+ in funding
- Predicted assessment values with 80% accuracy using Python ML algorithms like regression analysis, retrieving data through Selenium on U.S. commercial property sales and yearly trends; utilizing pandas, NumPy, and.
- Boosted website click-through rates by 300% using… Show more
- Boosted website click-through rates by 300% using Hotjar heatmaps and Google Analytics for behavioral analysis Show less
Community Ambassador
Aditya Kesavan education
Master Of Science - Ms, Computer Science: Machine Learning
Bachelor Of Science - Bs, Computer Science
High School Diploma, Medicine, Biology, Computer Science
Frequently asked questions about Aditya Kesavan
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What company does Aditya Kesavan work for?
Aditya Kesavan works for PocketPod (YC W24).
What is Aditya Kesavan's role at PocketPod (YC W24)?
Aditya Kesavan is listed as CS @ Georgia Tech | ML Engineer at PocketPod (YC W24) | Ex. AWS, Lockheed Martin, GTRI, Taxonics at PocketPod (YC W24).
Where is Aditya Kesavan based?
Aditya Kesavan is based in Atlanta, Georgia, United States while working with PocketPod (YC W24).
What companies has Aditya Kesavan worked for?
Aditya Kesavan has worked for Pocketpod (Yc W24), Amazon Web Services (Aws), Georgia Tech Research Institute, Lockheed Martin, and Taxonics.
How can I contact Aditya Kesavan?
You can use AeroLeads to view verified contact signals for Aditya Kesavan at PocketPod (YC W24), including work email, phone, and LinkedIn data when available.
What schools did Aditya Kesavan attend?
Aditya Kesavan holds Master Of Science - Ms, Computer Science: Machine Learning from Georgia Institute Of Technology.
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