Headline

AI-Powered Software Engineering & Data Analytics Enthusiast | AI/ML | Hackathon & Research Experience | CSE Graduate – Kalasalingam University

About

I'm a Computer Science (AI & ML) graduate who builds AI systems that solve real problems — from legal document retrieval to mental health prediction to financial personalization. What sets me apart from most freshers: → 2× IEEE Published Researcher — peer-reviewed papers on computer vision and intelligent surveillance systems → 5+ end-to-end AI/ML projects spanning NLP, Deep Learning, Computer Vision, and Data Analytics → Hands-on internship experience in both AI development (Microsoft Partner Program) and Data Analytics → Top 10 finalist — KARE CODEX ACM Coding Competition 𝗧𝗲𝗰𝗵 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵: Python • Machine Learning • Deep Learning • NLP • LLMs • RAG Pipelines • Computer Vision • OpenCV • TensorFlow • PyTorch • HuggingFace • Scikit-learn • Pandas • SQL • Data Analytics • Power BI 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗜'𝘃𝗲 𝗯𝘂𝗶𝗹𝘁: - QA Bot for Indian Law — NLP + RAG-style document retrieval across 200+ legal statutes - Suicidal Ideation Prediction — LSTM classifier with 91%+ recall for healthcare AI - AI Financial Advice System — K-Means segmentation + regression for fintech personalization - Intelligent Surveillance System — YOLO object detection + distance estimation (IEEE Published) - Smart Home Access Control — OpenCV + anomaly detection (IEEE Published) 𝗪𝗵𝗮𝘁 𝗜'𝗺 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿: I'm actively seeking fresher opportunities in: - AI / ML Engineering - Data Analytics / Data Science - Python Development - Software Engineering (AI-focused) Open to full-time roles, internships, and contract work. Based in Hyderabad | Open to remote and relocation. Let's connect if you're building something meaningful with AI.

Location

Hyderabad

AI stack

aistudio

hugging face

langchain

openai

Work experience

Data Analyst Intern at Codtech IT Solutions Pvt. Ltd., Feb 2026 - Mar 2026 · 2 mos, Remote, Performed end-to-end exploratory data analysis (EDA) on structured business datasets using Python (Pandas, NumPy) to uncover key trends, patterns, and statistical insights for business decision-making. Key contributions: - Built data visualization dashboards using Matplotlib and Seaborn, improving stakeholder insight interpretation speed by 30%+ - Cleaned and transformed raw datasets handling null values, outliers, and encoding reducing downstream data quality issues - Engineered analytical reports summarizing findings for both technical and non-technical stakeholders - Applied statistical analysis techniques to validate patterns and support data-driven recommendations Tools & Technologies: Python • Pandas • NumPy • Matplotlib • Seaborn • Excel • SQL • Jupyter Notebook • EDA • Statistical Analysis • Data Cleaning • Data Visualization

Artificial Intelligence Intern at Coincent (Microsoft Partner Program), Jul 2023 - Aug 2023 · 2 mos, Remote, Developed Python-based AI modules for classification and prediction tasks as part of a Microsoft Partner Program AI initiative. Key contributions: - Engineered preprocessing pipelines and feature engineering components to improve model accuracy by 15%+ - Built and integrated ML modules into existing project pipelines following software engineering best practices version control (Git), modular code design, and documentation - Collaborated with senior engineers on end-to-end system design: data ingestion → model training → evaluation reporting - Documented all workflows and model evaluation results for team reproducibility and future iteration Tools & Technologies: Python • Scikit-learn • Pandas • NumPy • Machine Learning • Feature Engineering • Git • Jupyter Notebook

Education

Bachelor of Technology - BTech, Computer Science and Engineering ( AIML), kalasalingam University

Intermediate, Sri Chaitanya Jr.Kalasala