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Software Engineer with less than a year in Web Development and Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
J Sai Nikhil is an aspiring Software Engineer currently pursuing a Bachelor of Technology in Computer Science and Engineering. He possesses strong programming skills in Java, C, Python, and is proficient in web technologies like HTML and CSS. His academic coursework includes Data Structures, Algorithms, Machine Learning, and Artificial Intelligence. He has applied these skills in projects like developing a placement preparation website and an AI-driven image inpainting tool, demonstrating a blend of web development and deep learning capabilities. Known for leadership, teamwork, and effective time management, he is eager to contribute to innovative tech solutions.
Gokaraju Rangaraju Institute of Engineering and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Scholars Junior College
Intermediate
June 1, 2019 – May 31, 2021
Mother's Lap High School
SSC (Secondary School Certificate)
June 1, 2018 – May 31, 2019
Image Defusion and Generation (Deep Learning)
January 1, 2025 – Present
This project utilizes modern deep learning to inpaint images with the Segment Anything Model of Meta and Hugging Face Diffusers. Customers can make adjustments to particular regions of high-resolution images using text prompts and precise segmentation using a Gradio-based interface. It also incorporates ControlNet upgrades to achieve better outcomes and dynamic editing capabilities.
Enroute to Placements (Web Development)
January 1, 2024 – Present
The goal of this project is to build a website that provides comprehensive placement preparation material for various MNCs and companies. It will include previous placement processes, question papers with solutions, essential preparation courses, and quizzes. The main feature is to organize content distinctly for each company such that access is easy.
Data Analytics with Python
NPTEL
January 1, 2024 – Present
Data Science for Engineers
NPTEL
January 1, 2023 – Present
Certificate for the Completion of Blender Training
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show diversity in interests, ranging from web development to deep learning. The certifications in Data Science and Data Analytics indicate a proactive learning attitude. However, without professional experience or more detailed project descriptions, it's challenging to fully assess cultural fit for a senior software engineer role. The candidate is still pursuing a Bachelor's degree, which suggests a foundational learning phase rather than senior-level readiness.
Soft Skills & Operational Fit
The candidate lists 'Leadership & Team Work' and 'Time Management' as strengths, which are valuable for operational fit. However, these are self-proclaimed and not validated by experience or assessment data. The academic projects suggest an ability to work on defined tasks, but the lack of professional experience makes it difficult to assess operational fit in a senior role.