An AI/ML enthusiast based in India. Welcome to my GitHub space, where I explore and share my AI-driven projects, from machine learning models to data-driven solutions. Feel free to explore, collaborate, and connect with me to dive deeper into the world of AI!

I’m a passionate learner and problem-solver who enjoys using code to tackle real-world challenges. My curiosity naturally led me into the world of Artificial Intelligence, where I find endless inspiration in building models that can learn, adapt, and make intelligent decisions.

From healthcare prediction to AI-powered waste detection, I love working on projects that combine data, logic, and innovation. I'm particularly interested in how AI can be used to solve social and environmental problems.

Outside of coding, I create content on LinkedIn, where I share my learning journey, projects, and insights with the tech community. I enjoy staying updated with the latest trends in AI, ML, and Data Science — always pushing myself to experiment with new tools, ideas, and techniques.

I believe that with the right mindset, code, and collaboration, we can build smarter and more sustainable solutions for the future.

I work with various technologies, Including:

Data Science Intern
Artificial Penetration Software Solutions Pvt. Ltd. (Nov 2024 – Present)

• Developed ML & DL models
• Performed feature selection, model tuning, and real-time system deployment
• Improved model accuracy and reporting through continuous feedback

I'm currently enhancing my expertise in AI/ML, diving into neural networks, deep learning models, and advanced data processing techniques to develop intelligent, data-driven solutions.

I specialize in AI/ML development, working on both data-driven models and intelligent solutions. From designing advanced machine learning models with TensorFlow and PyTorch, to building scalable pipelines and integrating cloud-based solutions with Azure.

Right now, I'm focused on building intelligent AI/ML applications that are both scalable and efficient, applying best practices for model optimization and real-time data processing.

To create meaningful digital experiences that not only solve problems but also bring value to users. I believe in building AI-powered apps that make people's lives easier and more enjoyable.

• 🌍 Become a Full-Stack Data Scientist
  I aim to master every layer of the data pipeline — from data engineering and model development to deployment and performance monitoring — to drive impactful business decisions at scale.

• 🏢 Work with Global Tech or Research Teams
  I aspire to contribute to forward-thinking organisations or research labs that are solving real-world problems using cutting-edge technologies in machine learning, computer vision, or NLP.

• 📈 Design Scalable AI Solutions for Social Impact
  My long-term vision is to build AI systems that can positively impact healthcare, waste management, and agriculture — especially in developing regions like rural India.

• 🎓 Pursue Higher Education or Certifications
  I plan to pursue advanced certifications or a master’s degree in Data Science, AI, or Computational Sciences to strengthen my theoretical foundation and practical exposure.

• 🧑‍🏫 Mentor & Teach Aspiring Data Professionals
  I want to give back to the community by mentoring students, writing blogs, or creating tutorials to democratise access to AI/ML education.

• 🛠️ Build My Own AI-Focused Product or Startup
  Eventually, I aim to launch an AI-based solution or SaaS platform that solves a unique problem using data, automation, and machine learning.

• 🌐 Stay Ahead with Evolving Tech Trends
  I will continually adapt by learning new technologies, tools, and frameworks — whether it's generative AI, edge computing, or cloud-native ML pipelines.

I’m always excited to learn and try new technologies, constantly pushing the boundaries of my skills to keep up with the ever-evolving tech landscape.

• 🧠 I enjoy solving real-world problems with data — especially the kind that makes you say “Oh, that’s why it’s happening!”
• 🔬 I once turned hours of manual garbage classification into a real-time AI solution... and reduced human sorting effort by 20%.
• 🎓 I survived (and thrived) through both VLSI design labs and deep learning models — yes, I'm that rare combo of hardware + AI!
• 🍃 When I’m not coding, I love exploring nature and listening to calm instrumental music (it helps me debug faster 😉).
• 🧩 I can spend hours building machine learning pipelines — and still be excited to explain how train_test_split() works.
• ☕ I believe any tough bug can be fixed with the right mindset... and just the right amount of chai.

• 🚑 Developed Real-Time Kidney Disease Prediction System
  Built and deployed ML models (ANN, KNN, LSVM, DT) to support instant diagnosis for healthcare professionals using patient input data.

• 🔍 Achieved 20% Accuracy Boost in Garbage Detection Model
  Enhanced performance of deep learning models (ResNet, Inception, Xception) for recyclable/non-recyclable waste classification using transfer learning.

• 💡 Led VLSI Capstone Project on 45nm CMOS Comparator
  Designed a low-power, high-speed clocked comparator using Cadence Virtuoso, Spectre, and Assura tools; simulated and validated the project using industry-grade workflows.

• 🧠 Completed Data Science Internship with Real-World Impact
  Delivered end-to-end solutions involving data cleaning, feature engineering, model building, evaluation, and real-time implementation.

• 📊 Built End-to-End Data Pipelines and Dashboards
  Automated data workflows using Python, MySQL, and Power BI to generate actionable insights and facilitate business intelligence.

• 🌟 Consistently Praised by Mentors and Stakeholders
  Recognised for proactive model tuning, accuracy tracking, and clear communication of results throughout internship tenure.

• 📣 Presented Analytical Findings to Cross-Functional Teams
  Translated complex model outputs into easy-to-understand dashboards and presentations for both technical and non-technical audiences.

• Contributed to multiple community projects through NSS and NCC, enhancing technical knowledge while giving back to society.

• Certified in Azure Fundamentals (AZ-900), Power Platform Fundamentals (PL-900), and Python Programming.

Built a machine learning model using ANN, KNN, LSVM, and Decision Tree to predict the risk of kidney disease based on clinical parameters like age, blood pressure, and glucose levels.

• 🔍 Performed feature selection and data preprocessing
• 📈 Evaluated model performance using accuracy, precision, recall, and F1-score
• ⚙️ Tools Used: Python, Pandas, Sklearn, Matplotlib

Developed a deep learning-based garbage classification model using ResNet, Inception, and Xception to distinguish recyclable from non-recyclable waste.

• 🧠 Used transfer learning for better model generalisation
• 📊 Improved accuracy by 20% with hyperparameter tuning
• 🌍 Deployed for real-time use in urban waste management
• ⚙️ Tools Used: TensorFlow, Keras, OpenCV, Python

📅 Duration: 2020 – 2024
🎓 Capstone Project | Narasaraopeta Engineering College

• Designed a low-power, high-speed clocked comparator using 45nm CMOS technology, targeting performance and energy efficiency.
• Used Cadence Virtuoso for schematic design, layout creation, and simulation via Spectre and ADE.
• Performed timing verification and design rule checks (DRC/LVS) using Assura, ensuring manufacturability and correctness.
• Optimised switching speed and reduced leakage for advanced analog/digital VLSI applications.

I'm always open to networking, collaborations, internships, and exciting AI/Data Science opportunities. Let’s connect and build something amazing together!

📍 Location: Palnadu, Andhra Pradesh
📧 Email: [email protected]
📞 Phone: +91 86881 20920

Thanks for checking out my GitHub profile! Let's build something great together! 🚀