Driving Innovation at the Intersection of AI & Engineering

A passionate pre-final year Electronics & Communications Engineering student with a minor in AI & Data Science. I thrive on leveraging robust programming skills in Python, C, and Java to develop impactful solutions. Eager to contribute to cutting-edge projects, my expertise spans Machine Learning, Deep Learning, Data Structures, and Algorithms, with a growing foundation in Cloud Computing and DevOps.

About Me

I'm a highly driven and curious individual dedicated to exploring the transformative power of Artificial Intelligence and Data Science. As an Electronics & Communications Engineering student with a strong minor in AI/DS, I'm adept at blending theoretical knowledge with practical application. I'm passionate about developing intelligent systems, optimizing complex algorithms, and tackling challenging problems that contribute to technological advancement. My commitment to continuous learning and hands-on project experience fuels my aspiration to excel in Machine Learning and AI research, ultimately driving real-world impact.

Skills

Programming Languages

  • Python
  • C
  • Java
  • Embedded C
  • VHDL

Artificial Intelligence & Machine Learning

  • Neural Networks
  • Deep Learning
  • TensorFlow
  • Keras API
  • Long Short-Term Memory (LSTM)
  • Machine Learning Algorithms
  • Classification
  • Time Series Analysis
  • Feature Engineering
  • Data Preprocessing
  • Model Evaluation
  • Scikit-learn

Data Science & Analytics

  • Data Visualization
  • Data Structures
  • Algorithms
  • Algorithm Design

Hardware Design & Embedded Systems

  • Microcontrollers (8051)
  • Microprocessor (8085)
  • Embedded C
  • VHDL
  • Xilinx Vivado
  • Digital Circuit Design
  • Circuit Simulation
  • MULTISIM

Version Control

  • Git
  • GitHub

Software & Tools

  • Kaggle
  • Google Colab
  • Jupyter Notebooks

Projects

Airfare Predictor

  • Developed independently for college Data Science coursework.
  • Utilized LSTM neural networks and time series analysis on Goibibo dataset from Kaggle.
  • Addressed challenges in feature engineering and multi-output prediction (price and duration simultaneously).
  • Implemented robust data preprocessing, including cyclic encoding for temporal features.
  • Achieved MAE of 0.0513 on scaled test data and 90.99% prediction accuracy for flight prices and durations.
  • Medium Blog Post Google Colab GitHub Repository Video

Handwritten Digit Recognition Neural Network

  • Collaborated in a team to design and implement a multi-layer Artificial Neural Network (ANN) for handwritten digit recognition using the MNIST dataset.
  • Achieved 97.41% accuracy on the test set after 20 epochs, demonstrating proficiency in deep learning and image classification.
  • Medium Blog Post GitHub Repository

Unlocking Nature’s Secrets: Iris Flower Classification with ANN

  • Developed an Artificial Neural Network (ANN) using TensorFlow's Keras API to classify Iris flower species.
  • Utilized the Iris dataset and implemented One-Hot Encoding, Train-Test Split, and StandardScaler for preprocessing.
  • Achieved ~93% accuracy on unseen Iris flowers after 75 epochs.
  • Medium Blog Post GitHub Repository Google Colab

Pack Your Bags! Travel Companion

  • Developed as a smart packing assistant on the PartyRock platform.
  • Generates personalized packing lists by considering user inputs such as destination, trip duration, and planned activities.
  • Aims to provide effortless and stress-free packing, ensuring travelers don't forget essential items.
  • Check out the app on PartyRock here!

Blog Posts

Education

THE LNM INSTITUTE OF INFORMATION TECHNOLOGY

Bachelors in Technology, Electronics and communications, Artificial Intelligence and Data Science

Aug 2023 - Aug 2027 | Jaipur, India

Relevant Coursework:

  • Digital Systems & Circuits: Design of logic gates, flip-flops, and counters.
  • Embedded Systems: Microcontroller programming (8051, 8085) in Embedded C.
  • Signals and Systems: Signal processing basics and applications.
  • Network Analysis & Synthesis: Fundamentals of circuit analysis.
  • Mathematics: Calculus, Linear Algebra, Probability, and Statistics.
  • Design and Analysis of Algorithms: Analysing and implementing basic algorithms (sorting, searching).
  • Data Structures and Algorithms: Strong understanding of arrays, lists, stacks, queues, trees, and graphs.
  • Programming in C, Java: Developed several small-scale programs and problem-solving solutions.
  • Introduction to Scripting Languages (Python): Basic introduction focusing on automation and simple problem-solving; fundamentals of supervised/unsupervised learning, linear regression, and classification algorithms.
  • Artificial Intelligence and Data Science: Basics of AI techniques (search algorithms, decision making, game theory); introduction to data analysis, statistics, and data visualization with Python and Pandas.

TIMPANY SCHOOL (ISC - 12th Grade)

Mar 2021 - Jan 2023 | Visakhapatnam, India

GPA: Mathematics: 98%, Science: 90.25%, Computer Applications: 94%

TIMPANY SCHOOL (ICSE - 10th Grade)

Mar 2014 - 2020 | Visakhapatnam, India

GPA: Mathematics: 95%, Science: 95%, Computer Applications: 100%

Achievements

  • AWS AI & ML Scholars 2025 Challenge Completion
  • Vepa Annapoorniah Prize: Best Pupil in Mathematics (12th Grade ISC, Grade: 98%)
  • JEE Mains: Achieved 95.5 percentile

Certifications

Badges

Extracurricular Activities & Interests

  • Creative Arts: Enjoys painting and drawing, which enhances creativity and attention to detail.
  • Sports & Games: Enthusiast in strategic thinking and problem-solving through chess, and developing teamwork and resilience through athletics.
  • Machine Learning & AI: Exploring AI techniques and algorithms through beginner-level courses and hands-on projects.
  • Competitive Programming: Religiously solving problems related to algorithms and data structures on LeetCode everyday.

Languages

  • English (Intermediate)
  • Telugu (Native)
  • Hindi (Conversational)