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Machine Learning Software Engineer

Location:
San Francisco, CA
Salary:
75,000
Posted:
July 03, 2024

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Resume:

Anish Bellamkonda

San Francisco, California, USA

E-mail: ******************@*****.*** Phone: 510-***-**** LinkedIn: https://www.linkedin.com/in/anish-bellamkonda/ GitHub: https://github.com/AnishBellamkonda EDUCATION

California State University, East Bay Hayward, CA

Master of Science in Computer Science (GPA: 3.85) August 2022 - May 2024 Relevant Coursework: Advanced Algorithms, Web Systems, Theory of Computation, Operating Systems, Cyber Security, Computer Networks, Cloud Computing, Numerical Methods, Linear Algebra. Sreenidhi Institute of Science and Technology Hyderabad, India Bachelor of Technology in Computer Science and Engineering (Grade: A+) August 2018 – July 2022 Relevant Coursework: Data Structures, OOP, Algorithms, Python, Object Oriented Design, Linux, Machine Learning and Deep Learning, Big Data, Artificial Intelligence, Computer Architecture, Data Science, Statistics. WORK EXPERIENCE

ADP India Hyderabad, India

Software Engineer Intern (JumpStart Technical) March 2022 – July 2022

• Developed and maintained Full Stack web applications using JavaScript, React.js and .Net within 150 days.

• Collaborated with a team of 4 to architect, develop, maintain, and deploy a cutting-edge e-commerce solution, designed and optimized software, hardware and database for efficient data storage and retrieval.

• Increased e-commerce platform performance by 20% through optimized database utilizations TCS ION Hyderabad, India

Artificial Intelligence Intern May 2020 – June 2020

• Mastered AI principles, leading to a practical and successful product recommendation system project.

• Implemented and deployed a products recommendation system using machine learning techniques and Python libraries such as NLP, NLTK, FASTAPI and scikit-learn within a stipulated timeframe of 60 days. TECHNICAL PROJECTS

Classification of Plant Diseases Using Image Processing, Independent Project September 2021 – June 2022

• Employed Python for leaf image analysis, included feature extraction, utilized filtering techniques (Mean, Median, Gaussian and 4 others etc.) and 2 advanced segmentation methods to optimize leaf images input.

• Achieved 86% accuracy in classifying plant diseases using novel image processing techniques, which demonstrates robust problem-solving and analytical skills

• Developed 6 machine learning models with a focus on efficiency, scalability and accuracy using computer vision algorithms. Ecommerce Platform Development Project, Independent Project October 2020 – May 2021.

• Worked on developing a scalable MERN stack ecommerce platform, integrated third-party APIs for 5 months.

• Crafted customer friendly product interfaces, specialized user platforms and administrative capabilities.

• Utilized React and Node.js in developing scalable eCommerce solutions, demonstrating strong front-end and back-end development capabilities.

SKILLS

Programming Language: Python, C, C++, C#, Java, JavaScript, TypeScript, jQuery, HTML, CSS. Framework/Technology/Services: React, Angular, Express.js, Node.js, RESTful APIs. Databases: SQL, MySQL, Oracle, MongoDB, SQL Server, PostgreSQL, NoSQL. Python Libraries: NumPy, Pandas, SciPy, Matplotlib, Scikit-learn, PyTorch, Seaborn, Keras, TensorFlow, OpenCV. AI: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision. Software Development: Linux, Unix, Agile, Git, GitHub, Documentation, Unit and Functional Testing, Object Oriented Design. Development Tools: Eclipse, Visual Studio Code, Microsoft Office. Cloud Services: AWS, Azure.

Additional Skills: Problem-Solving, Collaborative, Strong Analytical and Reasoning, Team Building, Interpersonal Skills. CERTIFICATION

• AWS Certified Cloud Practitioner.

VOLUNTEER EXPERIENCE

Nation Social Service (NSS) Hyderabad, India

Volunteer Lead September 2018 – December 2021

• Led and coordinated NSS events, boosting community engagement by 30%.

• Organized a blood donation camp with 150 people and conducted social awareness camps in the university and community.



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