👋 About Me

Hi, I’m Aravind Suresh — an AIML Software Engineer with a B.E. in Artificial Intelligence and Machine Learning from BMS Institute of Technology and Management (Class of 2024) 🎓.

With 1 year of hands-on experience, I specialize in designing and deploying scalable AI/ML solutions that tackle real-world challenges across industries. My work spans machine learning, deep learning, computer vision, NLP, and data analytics — backed by strong skills in Python, TensorFlow, Scikit-learn, and modern ML workflows.

I enjoy solving complex problems, experimenting with new ideas, and turning raw data into smart, impactful products.

I’m passionate about learning, collaborating, and constantly pushing the boundaries of what AI can do.

🚀 What I’ve Built

📧 Voice-Activated Email Automation – Trigger emails using speech commands
📑 PDF Invoice Processing System – Automated extraction and organization of data from invoices.
💬 Sentiment Analysis Engines – Extracting insights from customer reviews and feedback
🤖 Chatbots using Ollama LLMs – Leveraging large language models for intelligent conversation systems

🧠 My Technical Toolkit

🔎 Machine Learning & Deep Learning
🗣 Natural Language Processing (NLP)
👁️‍🗨️ Computer Vision
🎮 Reinforcement Learning
📊 Data Analytics & Visualization
☁️ Cloud Platforms (AWS Basics , Azure (Learning)
💻 Programming Languages: Python, Java, C++, JavaScript
🛠 Frameworks & Libraries: TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, OpenCV

🌟 My Mission

I’m passionate about building intelligent systems that drive efficiency, enhance user experiences, and make a meaningful impact. I thrive on continuous learning, collaboration, and turning ideas into impactful solutions.

🔧 Technologies & Stack I am familiar with

TensorFlow

Scikit-learn

PyTorch

Java

Jupyter

Frontend Basics

Python

HTML

CSS

Flask

NumPy

Pandas

Seaborn

Matplotlib

Plotly

Plotly Dash

Artificial Intelligence

Machine Learning

Data Science

Pytesseract OCR

API Integration

💼 Work Experience

Svarapps Technologies India Pvt Ltd

Software Engineer 2

Aug 2024 - Present

Bangalore

🧪 Led the development and deployment of 15+ innovative AI/ML Proof-of-Concepts (PoCs), driving significant enterprise innovation and digital transformation across diverse sectors, including finance, healthcare, and retail.
🤖 Engineered and implemented advanced AI solutions leveraging Large Language Models (LLMs) and emerging AI tools, automating complex tasks and enhancing data-driven decision-making processes.
🗣 Designed and integrated sophisticated voice-activated chatbot systems and intelligent automated email workflows, streamlining internal communications and external engagements, resulting in an estimated 30% reduction in manual effort.
📊 Pioneered a unique voice-controlled PowerPoint automation tool, enabling dynamic slide insertion, deletion, and chart box manipulation through natural language commands, significantly accelerating content creation.
📱 Architected and deployed a robust beta-version Android mobile application for facial recognition, featuring real-time live feed and gallery image processing, integrating K-Nearest Neighbors (KNN), recognition list management, and multi-device image import capabilities to enhance security and user authentication.
🧠 Developed and optimized sophisticated predictive models for health insurance lead generation, utilizing advanced machine learning techniques (e.g., gradient boosting, neural networks) to identify high-potential prospects with 85% accuracy.
💬 Conducted in-depth sentiment analysis on large, unstructured datasets from platforms like Twitter and Netflix, visualizing key insights using Plotly to inform content strategy, product enhancements, and public perception analysis.
💬Drove significant enterprise innovation and digital transformation across diverse sectors (finance, healthcare, and retail) by successfully implementing AI solutions that met key business objectives.

Gieom Business Solutions

Digital Validation Intern

Aug 2023 - Sep 2023

Bangalore

🌍 Flag-Based OCR for 20+ countries
🧠 Image preprocessing for accuracy
🌐 Integrated Google Translate
🎨 UI with HTML, CSS, JS
⚙️ Flask backend for OCR/translation

Verzeo (with IBM)

Student Intern

June 2022 - August 2022

Bangalore

Focused on Python, Excel, and ML techniques.

🎓 Education

BMS Institute of Technology & Management - VTU

B.E in AI & ML

Dec 2022 - June 2024

Bangalore

Studied AI, ML, and data science concepts.

🤝 Volunteer Work

BMS Institute of Technology & Management

Volunteer

Tech Transform 2022, Utsaha Vaibhav 2023

Bangalore

🚀 My Projects

Health Insurance Prediction

Developed a machine learning model in Python to predict whether a customer will be interested in a health insurance policy (Response). The primary goal was to build and evaluate classification models to identify the best-performing one for this task. Involved data preprocessing and feature engineering, and assessed multiple algorithms including Logistic Regression, SVMs, and Random Forests.

Python Scikit-learn Pandas NumPy Matplotlib Seaborn Machine Learning Classification Data Preprocessing

Predictive Revenue Analytics

Developed a predictive analytics solution creating a sophisticated predictive analytics solution to forecast future revenue, providing critical foresight for business strategy. The methodology integrated robust time series analysis techniques, specifically ARIMA and Prophet models, alongside various machine learning models, to capture complex patterns and trends in historical revenue data.

Python Scikit-learn Pandas NumPy Matplotlib Seaborn Time Series Analysis Machine Learning Forecasting

Optical Character Recognition (OCR)

Developed a Python-based OCR system to extract text from images with high accuracy. Leveraged OpenCV for advanced image preprocessing and Pytesseract for efficient text recognition. Automated document digitization, significantly reducing manual workload and enhancing reliability.

Python OpenCV Pytesseract Pillow (PIL) Image Processing Computer Vision

Investment Portfolio Optimization

Developed a Python tool for investment portfolio optimization. Applied financial modeling for asset allocation. Used Pandas, NumPy, Matplotlib for data handling and visualization of performance and risk.

Python Pandas NumPy Matplotlib Financial Modeling Portfolio Optimization Quantitative Finance

Tax Compliance Automation

Focused on building a robust Python automation solution for tax compliance, addressing the common challenges of manual financial reporting. The core of the solution involved automating complex data processing and comprehensive report generation tasks. Enabled faster, error-free filings and improved overall financial transparency.

Python Pandas Automation Data Processing

Simple AI Chatbot

Developed a web-based AI chatbot using Flask that responds to predefined questions on AI, ML, NLP, and Deep Learning through an intuitive HTML/CSS interface. The chatbot features input normalization, voice input via the Web Speech API, and text-to-speech using ResponsiveVoice.js, offering a more interactive and user-friendly experience.

Python NLTK Chatbot Natural Language Processing

Take a look at my other projects too!

GitHub