Hi, I'm Harish
23 | Data Science | Software Engineering | AI & Machine Learning | Generative AI
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My Introduction
I am a final-year Integrated MTech student specializing in Data Science at VIT, with a strong foundation in Python, Machine Learning, NLP, Computer Vision, and Data Analytics. I have hands-on experience in developing and deploying AI/ML models, building data-driven solutions, and extracting meaningful insights from large-scale datasets. Passionate about leveraging cutting-edge AI frameworks and advanced analytics, I thrive on solving complex real-world problems and contributing to innovative R&D projects. If you're looking for someone to drive impactful AI initiatives and turn data into actionable intelligence, let's connect!
Experience
My journey in the academic & professional front(INTEGRATED) Master of Technology - Computer Science and Engineering with Specialization in Data Science
Vellore Institute of Technology, India CGPA : 7.8Class XII
Maths, Physics, Chemistry, Computer Science State Board of Secondary Education TamilNadu |THIRU G V C Higher Secondary School, India Percentage : 79 %Class X
State Board of Secondary Education TamilNadu | St joseph matriculation higher Secondary School, India Percentage : 87.8 %Software Developer Trainee
Fact Entry Data Solutions-A SIX CompanyAssociate Software Engineer - Trainee Intern
MIMASOFT Technologies Private Limited Ref LinkSkills
My technical & other skillsData Science & AI
Machine Learning
Deeplearning
Generative AI
Probability & Statistics
Computer Vision
Natural Language Processing
Data Mining
Ollama Models Configuring and finetuning
AI/ML Frameworks & Libraries : TensorFlow, PyTorch, Scikit-learn
Programming & Backend Development
Python
SQL
C++/C
Python-Flask / Python-Django
FastAPI
Docker
Kubernetes
Computing & Cloud
GPU & Distributed Computing
Google Cloud Platform (GCP)
Microsoft Azure
Data Engineering & ETL
Data Preparation
ETL Pipelines
Data Warehousing
SQL (MySQL)
NoSQL (MongoDB)
Data Lakes
ETL Tools
Data Analytics & Visualization
Power BI
Excel
Business Analytics
Data Storytelling
DevOps & Version Control
Git / Gitlab / Github
CI/CD
Automated Testing & Deployment
Projects
My Projects and WorksAI-Powered Document Q&A and Data Extraction System
FactEntry Data Solutions (A SIX Company)
Objective:
Developed an AI-driven RAG system for extracting structured data from scanned documents, including tables, forms, and text.
Key Contributions:
• Integrated Google Generative AI Embeddings (Google API) and LLaMA 3.3 (Groq API) for efficient retrieval and response generation.
• Implemented OCR-based text extraction using PyTesseract, enhanced with OpenCV preprocessing for improved accuracy.
• Leveraged Hugging Face LayoutLM for extracting data from complex layouts, including borderless tables and unstructured forms.
• Developed a Streamlit web interface for real-time document analysis and deployed it securely via ngrok.
Impact:
Automated document processing, reducing manual effort while improving data accuracy and retrieval speed.
Hate Speech and Harmful Content Classification Using LLM
Vellore Institute of Technology | Capstone
Objective:
Developed an AI-powered cybersecurity system for detecting hate speech and harmful content on the web and social media using NLP and LLMs.
• Designed a hybrid approach integrating ML/DL models with a fine-tuned LLM for advanced content moderation.
• Experimented with LLaMA 3.3, 3.2, DeepSeek 7B/14B, and WizardLM 7B via Ollama to optimize detection.
• Automated web scraping, text preprocessing, and structured content extraction.
• Deployed a real-time monitoring system for detecting and flagging harmful content.
Impact:
Enhanced cybersecurity and content moderation, reducing manual effort while improving detection accuracy.
Language Distribution & Document Clustering Tool
FactEntry Data Solutions (A SIX Company)
• Developed and deployed Language Distribution and Document Layout Clustering tools, releasing basic versions on PyPI and advanced versions for FactEntry.
Key Contributions:
• Used Tesseract OCR, LangDetect, and StableLM to analyze PDFs, providing language distribution breakdowns (e.g., 60% English, 30% Spanish).
• Built a clustering system using VGG16, ResNet, and PCA-based fine-tuning for document classification.
• Applied OCR and deep learning for accurate data extraction from scanned financial documents.
• Integrated LLaMA Vision for enhanced image analysis, improving document ranking and content grouping.
Disease Prediction using Ensemble Learning
SMART INTERNZ
• Engineered a disease prediction model using Python and machine learning algorithms like Random Forest and SVM,
achieving high accuracy in clinical trial predictions based on extensive patient historical data.
Key Contributions:
• Stored data in MongoDB Atlas, retrieved it with PyMongo, and transformed it into a binary dataset for analysis.
Real-Time Room Temperature & Humidity Visualization (AR)
J Component for ARVR Course
• Engineered a real-time AR system integrating the MQTT protocol to capture and visualize environmental data (temperature and humidity) using Unity-based 3D models.
• Enhanced user engagement with actionable ML-driven insights and provided interactive climate reporting.
Extractive Summarization & Information Retrieval
J Component for Web Mining Course
• Designed an advanced web scraping and information retrieval system leveraging natural language processing (NLP).
• Enabled the system to understand user queries in English, translate them into SQL, and extract targeted data with 95% accuracy from multiple websites.
• Stored extracted data in MySQL using SQLite3 in Python.
• Automated user queries in English to retrieve relevant data efficiently.
Application Tracking System
JP INFOTECH
Developed an NLP-based application tracking system using Python to analyze resumes, identify weak sentences, suggest improvements, and recommend keywords based on job descriptions.
Implemented an n-gram model to predict the next word a user might type, providing a typing assist feature.
• Developed an OCR-based system leveraging PyTesseract, combined with OpenCV preprocessing techniques scanned documents with 95% accuracy.
• Built a pipeline for recognizing complex tabular structures, including borderless tables, by integrating Hugging Face models and custom algorithms.
• Automated document processing across various formats (PDF, images) by integrating multi-API workflows, reducing manual efforts.
• Optimized data extraction workflows for large-scale datasets, enhancing performance and reducing processing time by 30%.
• Collaborated on ML-driven NLP projects to generate automated suggestions for keyword optimization and grammar correction.
Certification and Accomplishments
My Course work Certification ,Badges and Accomplishments
Microsoft Certified: Azure AI Fundamentals
Microsoft || 2023
• Successfully completed the AI-900 exam, Demonstrated foundational knowledge of AI, including machine learning, computer vision, nature language processing, and Azure AI services.
• Acquired hands-on experience with Azure Machine Learning, Cognitive Services, and responsible AI principles.
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SmartInternz Externship Program on Applied Data Science Powered by Google Developers
SMART INTERNZ || 2023
• Gained hands-on experience in machine learning and deep learning, applying techniques to solve real-world problems with guidance from industry
experts.
• Participated in assessments on data preprocessing, model development, and evaluation, improving technical skills and problem-solving abilities
through collaboration and feedback.
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Data Analysis and Visualization with Power BI
Microsoft || Coursera • 2025
• Data Analysis, Data Visualization, Power BI, Design Reports, Design Dashboards.
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Preparing Data for Analysis with Microsoft Excel
Microsoft || Coursera • 2024
• Explored features for efficiently viewing and analysing large data blocks, enhancing data management and interpretation skills.
Gained proficiency in creating accurate calculations.
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Harnessing the Power of Data with Power BI
Microsoft || Coursera • 2024
• Conducted hands-on analyses, including product launch, market campaign, and sales trend analyses.
• developed job-relevant skills that contribute to data-driven decision-making processes by understanding the complete data analysis lifecycle.
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Extract, Transform, and Load Data in Power BI
Microsoft || Coursera • 2024
• Gained skills in data analysis, transformation, configuration, and Power BI tools such as Power Query.
•Learned to set up data sources, configure storage modes, clean and transform data, and use Editor for code modifications.
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