Jayagovind K

AI/ML & Full-stack Developer | IT Student

Chennai, IN.

About

Highly adaptable and driven IT student with a strong foundation in AI/ML, Java, and Python, seeking to leverage expertise in building scalable, innovative solutions. Proven ability to design and implement predictive models, develop interactive applications, and contribute to cutting-edge full-stack development projects. Eager to apply analytical and technical skills to drive impactful outcomes within a dynamic tech environment.

Work

Daimler India Commercial Vehicles

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System Digitization Intern

Chennai, Tamil Nadu, India

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Summary

Designed and implemented digital systems to enhance operational efficiency and provide real-time analytics for defective product management.

Highlights

Designed a Natural Language Processing (NLP)-powered query chatbot, enabling on-demand retrieval of statistical information from internal documents.

Implemented a comprehensive digital system to track and manage defective products on the assembly line, providing real-time analytics on defect volume.

InternPe

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AI/ML Developer

Chennai, Tamil Nadu, India

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Summary

Developed and evaluated advanced predictive models using supervised learning techniques across diverse industries including healthcare, sports, and finance.

Highlights

Built robust predictive models utilizing supervised learning algorithms on varied datasets (healthcare, sports, finance), demonstrating versatility in AI/ML application.

Systematically evaluated the performance of regression and classification algorithms, determining domain-specific effectiveness for optimized model deployment.

MotionCut

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Python Developer

Chennai, Tamil Nadu, India

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Summary

Developed interactive utility and productivity applications using Python, focusing on enhancing user engagement and problem-solving capabilities.

Highlights

Developed interactive utility and productivity applications using Python, significantly enhancing problem-solving capabilities and user engagement.

Implemented intuitive GUI-based tools and logic-driven programs, prioritizing usability and user experience in design and development.

Volunteer

Head of Magazines

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VECoders Technical Club

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Leading the editorial and content strategy for VECoders Technical Club's publications, fostering knowledge sharing and technical writing among members.

Highlights

Oversee the creation and publication of technical magazines, promoting engagement and knowledge dissemination within the club.

Event Organizer – "Front-end Forensics" Technical Event

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VECoders Technical Club

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Organized the 'Front-end Forensics' technical event, managing logistics and content to ensure a successful and engaging experience for participants.

Highlights

Coordinated all aspects of the 'Front-end Forensics' technical event, including planning, promotion, and execution, attracting significant participant engagement.

Education

SRM Valliammai Engineering College

Chennai, Tamil Nadu, India
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B.Tech Information Technology Grade: 8.62/10.0 CGPA

Vidhya Sagar Global School

Chennai, Tamil Nadu, India
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High School Higher Education Grade: Class 12: 91%, Class 10: 89.6%

Awards

Winner: Capture the Flag

SRMIST

Awarded for outstanding performance in the Capture the Flag competition, demonstrating advanced cybersecurity and problem-solving skills.

Runner-up: Code Crusade Debugging

Saveetha College

Achieved runner-up position in the Code Crusade Debugging competition, showcasing exceptional debugging and logical reasoning abilities.

Runner-up: Code Puzzle

Apollo College

Secured runner-up in the Code Puzzle competition, highlighting strong algorithmic thinking and problem-solving skills.

Finalist: UI / UX Designing

SaiRam College

Recognized as a finalist in UI/UX Designing, demonstrating proficiency in user interface and user experience principles.

Winner: Paper Presentation - MathFest

SRMVEC

Won the Paper Presentation at MathFest, for effectively presenting complex mathematical concepts and research findings.

Publications

Optimizing Speaker Diarization and Speech Transcription for Low-Latency Voice Applications

International Journal of Research and Analytical Reviews - IJRAR1ECP084

Co-authored a research paper focusing on advanced techniques to optimize speaker diarization and speech transcription for low-latency voice applications.

Certificates

Data Science for Engineers

NPTEL

Python for Data Science

NPTEL

Blockchain Applications and Organoid Intelligence Exploration

SRMVEC

Programming, Data Science and Algorithms using Python

NPTEL

Transformer Models and BERT

Google Cloud

Skills

Programming Languages

Java, Python, C, C#, SQL.

Machine Learning & AI

Natural Language Processing (NLP), Machine Learning, Deep Learning, Predictive Modeling, Classification Algorithms, Regression Algorithms, Model Evaluation, Feature Engineering, AI Summarization, Speaker Diarization, Real-time Transcription, LLM Architecture, LSTM Neural Networks.

Tools & Frameworks

NumPy, PowerBI, Jupyter Notebook, Git, Figma, Blender, Microsoft Office Suite.

Software Development & Data Science

GUI Development, API Integration, System Design, Data Preprocessing, Data Analytics, Problem Solving, Scalable Solutions, Full-stack Development, User Experience (UX), User Interface (UI).

Projects

Voice Intelligence Suite: Real-time Transcription, Speaker Diarization, AI Summarization and Multilingual Translation

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Summary

Developed a modular voice recorder application for Windows, integrating advanced AI functionalities for comprehensive voice processing.

Breast Cancer Detection

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Summary

Built a machine learning model to predict breast cancer presence using classification algorithms based on diagnostic data.

Used Car Price Prediction

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Summary

Created a regression-based machine learning model to estimate used car prices using various features.

Diabetes Prediction Model

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Summary

Implemented a classification model to predict diabetes risk based on patient health metrics.

IPL Winner Prediction

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Summary

Developed a predictive model using historical match data and machine learning algorithms to forecast IPL match outcomes.