Vishnuvasan T S
Blockchain DeveloperAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Master's Student in Data Science & AI
Currently immersed in the field of Artificial Intelligence, on a very high level I work at the intersection of machine learning, deep learning, and natural language processing. My experience spans developing neural architectures, exploring explainable AI, and applying NLP techniques to software engineering, combining academic depth with practical impact. I am a self-motivated and fast learner, I enjoy bridging theory and application to create robust, data-driven solutions. I’m particularly drawn to research-oriented challenges that demand both critical thinking and collaborative problem-solving.
Universität des Saarlandes
Master of Science - MS, Data Science and Artificial Intelligence
April 1, 2025 – Present
Sri Venkateswara College of Engineering
Bachelor of Technology - BTech, Artificial Intelligence and Data Science
October 1, 2020 – July 1, 2024
Ebenezer Marcus International School and Junior College
Grade 12 [CBSE] in Physics, Chemistry, Mathematics, Computer Science(C++, MySQL)
June 1, 2018 – January 1, 2020
Carmel Public School
Grade 10 [ICSE] in Mathematics || Science || Social Science || Computer Application(JAVA)
January 1, 2015 – January 1, 2018
Samco Securities Limited
Software Trainee (AI)
November 1, 2024 – March 1, 2025
Chennai · On-site
Mocero Health Solutions
Machine Learning Intern
January 1, 2024 – May 1, 2024
Chennai, Tamil Nadu, India · Hybrid
Hyundai MOBIS
Machine Learning Intern
January 1, 2023 – January 1, 2023
Sriperumbudur, Tamil Nadu, India · On-site
PALS
Web Development Intern (low code)
April 1, 2022 – June 1, 2022
Chennai, Tamil Nadu, India · Remote
Gap Pattern Detection for Trading Assistance
January 1, 2025 – Present
• Developed a GAP UP and GAP DOWN Pattern Detection system for candlestick charts using YOLOv11l , enabling quick identification of key technical analysis patterns for stock market trading. • Trained the model on a custom dataset to accurately detect patterns in candlestick chart images, empowering traders with insights into potential market movements. • Integrated a Gradio-based web interface for real-time detection and user-friendly interaction, enhancing efficiency and accuracy in technical analysis workflows.
Fintech Document Summarizer
November 1, 2024 – December 1, 2024
• Developed a Fintech PDF Summarizer to make complex financial documents accessible to the general public by generating concise, layman-friendly summaries. • Implemented a RAG-based approach using LangChain & LlamaIndex as a gateway to plugin various LLMs and ChromaDB as the vector database, to retrieve and summarize structured financial data effectively. • Explored advanced frameworks like Agno AGI (Phidata) and Langflow to generate customized PDFs by integrating various AI Agents, Vector DBs and LLMs for enhanced functionality.
Object-Centric Text Embedding in Images
January 1, 2024 – April 1, 2024
• Developed an automated object-centric text embedding system that enhances the process of adding customized text to AI-generated images by focusing on specific objects, such as a person’s face or pose. • Enabled precise text placement by first generating the image and then embedding text onto targeted objects, ensuring contextual relevance and visual accuracy. • Improved flexibility and customization in AI-generated imagery, offering a more refined alternative to traditional text-to-image generation methods.
Avalanche Victim Localizer
August 1, 2023 – September 1, 2023
• Implemented a Victim Spotting Process involving altitude stabilization, debris classification, and real-time data logging on an intuitive dashboard, ensuring rapid and accurate identification of victims. • Enhanced rescue operations by triggering voice notes with critical information upon human-positive classifications, significantly reducing search times and improving survival rates in avalanche emergencies. • Aims to revolutionize avalanche rescues by increasing victim identification certainty and expediting life-saving interventions in critical scenarios.
COPD Progression Assessment
August 1, 2023 – December 1, 2023
• Developed a robust diagnostic system for COPD severity classification using advanced signal processing techniques, including spectrogram, Mel spectrogram, and chromogram analysis , leveraging data from the RespiratoryDatabase@TR . • Trained the RESNET50 model to achieve precise multi-class classification of COPD severity, attaining an impressive accuracy of 94.46% . • Addressed a critical public health challenge, impacting millions of individuals worldwide affected by COPD, by providing an accurate and scalable diagnostic solution.
Feed the Need
December 1, 2022 – December 1, 2022
• Developed a platform connecting food donors, food seekers, and NGOs to streamline food distribution and reduce waste. • Integrated AI-powered image analysis to detect the number of people in a group photo and estimate age demographics, automating food allocation based on nutritional needs. • Enabled real-time reporting and logistics coordination to ensure efficient food collection, delivery, and equitable distribution.
Accicare
August 1, 2022 – September 1, 2022
• Developed an Accident Sensing and Intimation System using AI to detect accidents, notify nearby hospitals within a specified radius, and optimize ambulance response times based on hospital availability. • Integrated NLP for user interaction and combined it with eye blink and blood detection modules to enhance system functionality, ensuring rapid and accurate emergency response. • Leveraged real-time data processing and adaptive algorithms to refine response strategies, significantly reducing delays in medical attention and improving survival rates in accident scenarios.
Forecasting Natural Gas International Prices using advanced Time-Series Techniques
March 1, 2022 – March 1, 2022
Developed under 36 hours in Smart India Hackathon 2022 and got scrutinized for finals.
RPA for NACH (National Automated Clearing House) mandate
December 1, 2021 – January 1, 2022
Given the image of NACH mandate, the RPA has to extract the data by creating bounding boxes of considerable area from the static fields - Account Number, Amount in Words, Bank Name, Date, and Amount in Figures, From Date, IFSC code, and MICR code, Reference 1, Reference 2 and Sponsor Bank Code and store all the retrieved data in the desired database (ORACLE XE) for henceforth wiser accessing of data.
RPA for Cheque Truncation System
November 1, 2021 – December 1, 2021
Cheque Truncation System (CTS) is a process in which image of relevant data of a cheque is electronically captured and transmitted to enable payment of that cheque to payee’s account simultaneously debiting the account of the drawer without the physical movement of cheque itself. Taking this motivation, the task of RPA is to extract the Date, Amount in Figures, Amount in Words (English), and Payee, given the image of a cheque.
Grazier
January 1, 2021 – January 1, 2021
This project is developed at HackMol 2.0 and is dedicated to our farmers, where farmers and merchants can directly interact without mediators.
Tour Mysuru
December 1, 2020 – December 1, 2020
This project is developed at DSC WoW and is to improvise & promote the modern day tourism in Mysuru by which our project functions as an ALL IN ONE portal.
Stud Eeze
November 1, 2020 – November 1, 2020
A web portal which is developed at HackSRM 3.0 to improvise the method of learning!!!
HackSRM 3.0
SRM University, AP
June 25, 2026 – Present
C++ Advanced
Udemy
June 25, 2026 – Present
Code Off Duty
Google for Developers
June 25, 2026 – Present
Hack-a-demic
Indian Institute of Information Technology, Allahabad
June 25, 2026 – Present
Quantum Computing
Udemy
June 25, 2026 – Present
Code-a-thon
Vellore Institute of Technology
June 25, 2026 – Present
Introduction to IOT
Amazon Web Services (AWS)
June 25, 2026 – Present
Cloud Computing
IBM
June 25, 2026 – Present
Tensorflow and Keras
Great Learning
June 25, 2026 – Present
Machine Learning with Python
freeCodeCamp
June 25, 2026 – Present
Problem Solving
HackerRank
June 25, 2026 – Present
React JS
Udemy
June 25, 2026 – Present
Git and Github
Udemy
June 25, 2026 – Present
CSEA Abacus
invalid15094330
June 25, 2026 – Present
Complete SQL
Udemy
June 25, 2026 – Present
Blockchian Dapps
The State University of New York
June 25, 2026 – Present
Shaastra Programming Contest
Indian Institute of Technology, Madras
June 25, 2026 – Present
Core Java
361 Degree Minds
June 25, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 25, 2026 – Present
Deep Web
Udemy
June 25, 2026 – Present
JavaScript
Udemy
June 25, 2026 – Present
WoW
Developer Students
June 25, 2026 – Present
Data Analysis with Python
freeCodeCamp
June 25, 2026 – Present
Amazon Kinesis
Amazon Web Services (AWS)
June 25, 2026 – Present
HackOverFlow
Chennai Institute of Technology
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's diverse range of personal projects, including those from hackathons, indicates a proactive and innovative mindset. The projects span various domains (Fintech, Healthcare, Environmental, Social Impact), suggesting adaptability and a broad interest in applying technology to different challenges. The target role is 'Blockchain Developer', and while there is a certification in 'Blockchain Dapps', the primary project and work experience are heavily skewed towards AI/ML. This suggests a potential gap in direct, hands-on blockchain development experience, which might require significant upskilling for a dedicated blockchain role. However, the candidate's demonstrated ability to learn and apply new technologies (e.g., various AI frameworks) bodes well for adapting to a new domain.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving (e.g., 'Accident Sensing and Intimation System', 'Avalanche Victim Localizer') and a results-oriented approach (e.g., 'achieving an impressive accuracy of 94.46%', 'reducing cycle time by 4.8 seconds'). Participation in hackathons suggests teamwork and working under pressure. However, without direct assessment data, specific soft skills like communication clarity, stress handling, and team collaboration cannot be definitively evaluated.