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AI Engineer with less than a year in Machine Learning, Python, and Java.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and technically proficient Computer Science student with a strong foundation in programming and problem-solving. Passionate about building AI-powered and web-based solutions that solve real-world challenges.
MLR Institute of Technology, Hyderabad
Bachelor of Technology · Computer Science and Engineering
November 1, 2022 – May 1, 2026
SriChaitanya Junior College, Hyderabad
Class XII · MPC (Maths, Physics, Chemistry)
June 1, 2020 – June 1, 2022
Vidya Vani High School, Hyderabad
SSC
June 1, 2019 – May 1, 2020
AI Powered Legal Assistant Using LLMs
June 1, 2023 – June 1, 2026
Built a multilingual AI-powered legal assistant system to help users understand laws, upload legal documents, and generate legal drafts. Integrated a Retrieval-Augmented Generation (RAG) pipeline for context-based information retrieval using semantic search. Implemented legal jargon simplification and multilingual translation support for enhanced accessibility. Designed and developed a responsive and intuitive interface ensuring seamless user interaction. Utilized ChromaDB and Sentence Transformers for accurate and efficient legal text processing.
Hand Gesture Volume Controller
June 1, 2023 – June 1, 2026
Developed a computer vision-based system that controls system audio volume using real-time hand gesture recognition. Utilized MediaPipe for hand landmark detection and OpenCV for gesture tracking through webcam input. Implemented finger pointing mechanism to map hand gestures to volume control levels dynamically. Achieved smooth and accurate volume adjustments with minimal latency for enhanced user interaction. Designed an intuitive and contactless human-computer interaction system in daily applications.
Crop Disease Detection Using CNN
June 1, 2023 – June 1, 2026
Developed an AI-driven system to detect and classify crop diseases from leaf images using Convolutional Neural Networks (CNN). Trained the model on categorized image datasets to identify diseases such as rust, leaf blight, and mosaic virus with 95% accuracy. Optimized the model performance through data augmentation and fine-tuning of CNN parameters. Visualized training metrics and prediction results to evaluate accuracy and loss effectively. Achieved significant improvement in prediction accuracy through hyperparameter tuning and validation-based performance evaluation.
Java
Hackerrank
January 1, 2025 – Present
SQL
Intellipaat
January 1, 2025 – Present
Essentials of Data Analytics
Cisco
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest in applying AI to solve real-world problems, aligning well with an innovative and impact-driven culture. The diversity of projects (NLP, computer vision) indicates a broad technical curiosity and willingness to explore different domains. However, the lack of professional experience means there's no direct evidence of collaboration within a team or navigating corporate environments. The focus on academic projects suggests a learning-oriented mindset, which can be a good cultural fit for organizations that value continuous development.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and a passion for building AI-powered solutions. The project descriptions highlight critical thinking and an ability to adapt to new technologies. While direct experience in a professional operational environment is lacking due to the academic background, the project work suggests a collaborative approach and a focus on user interaction. The candidate is a fast learner and quick adapter, which are valuable traits for operational fit.