Software Engineer System Design

MANIDEEP JAGADHABI

+1-201-***-**** ***********@*****.*** LinkedIn Jersey City, NJ

EDUCATION

New Jersey Institute of Technology, Newark, NJ Sep 2022 – Dec 2023 Master of Science, Computer Science

Coursework: Data Structures and Algorithms, Internet and Higher-Layer Protocols, Web Systems Cloud Computing, Advanced Database System Design, Operating System Design Anna University (MIT), Chennai, India Aug 2017 – May 2021 Bachelor of Technology, Information Technology

SKILLS

Languages: Python, Go, Java, C++

Web Technologies: Django, MySQL, JavaScript, React JS, Angular JS, Node JS, Spring Boot. Tools: Git, Bit Bucket, Eclipse, Postman, TensorFlow, Pytorch. Cloud Services & Integration: AWS (Cloud Formation, DynamoDB, SNS, SQS, ECS), GraphQL. Databases: Oracle, MySQL, Mango DB

Cloud and Management: Jira, Confluence, Git, Microsoft Teams, Slack, Microsoft Excel. WORK EXPERIENCE

Outlier – AI Engineer Freelance Feb 2024- Present

• Proficient in data modeling, machine learning, and PySpark, with a strong ability to develop and optimize large-scale data processing workflows.

• Experienced in leveraging large language models (LLMs) and AI techniques to design and implement innovative solutions for complex data-driven challenges.

Kaleyra - Software Engineer Bangalore, India Aug 2021- July 2022

• Experienced in developing robust front-end applications using Angular, React.

• Demonstrated expertise in developing and deploying AI/ML and Generative AI solutions.

• Migrated Webpages from PHP to React and Golang.

• Developed multiple features for billing like WhatsApp Billing, Subaccount features, Postpaid fulfillment, Invoicing and Report, Campaigns, CRON jobs and many more.

• Actively contributed to the Reseller Management Project, leveraging Django and React to develop scalable and user-friendly solutions, ultimately streamlining reseller account management and boosting customer satisfaction.

Kaleyra - Software Engineer Intern Bangalore, India Mar 2021- June 2021

• Developed and deployed various Full Stack projects using MERN stack.

• Assisted the operation team on Distributed Ledger Technology (DLT) implementation. ACADEMIC PROJECTS

• WEB-BASED APP for e-commerce GitHub

apparel Role-based access control, which ensures that users may only interact with the features and data relevant to their given responsibilities, is one of the robust security procedures shown in this Flask- powered project.

• Movie Recommendation System

Developed a sophisticated system that seamlessly integrates content-based and collaborative filtering techniques to deliver personalized top-10 movie suggestions based on high similarity scores.

• Epilepsy Drug Recommendation Using Deep Learning. Mobile-based epilepsy drug recommendation system using federated learning, ensuring data privacy, and delivering personalized drug recommendations for improved treatment in mobile systems. CERTIFICATIONS

• AWS Cloud Practitioner – LinkedIn Learning

• Build GANs and Diffusion Models with TensorFlow and PyTorch – LinkedIn Learning

• SQL for Data Analysis – LinkedIn Learning

ORGANIZATIONS

• Google Developer Student Club, Artificial Intelligence & Coding Club – New Jersey Institute of Technology

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