Open to opportunities

Shravan Kumar

@shravankumar5

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Computer Science (AI & ML) graduate focused on ML-driven products and full-stack AI applications.

India

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What I'm looking for

I seek a role applying ML and full-stack skills to real-world products, in a collaborative environment that values impact, learning, and growth.

I am a Computer Science graduate specialized in AI & ML, combining practical internship experience with hands-on project work in machine learning, web deployment, and data engineering.

During internships at INCOIS and Elfinity Technologies I developed high-resolution flood mapping workflows, built AI-powered full-stack applications, and supported data science pipelines using Python, MongoDB, and modern web stacks.

I have built and deployed ML systems for fraud and misinformation detection — including fake-news, phishing-site, and deepfake detectors — using NLP, classical ML algorithms, PyTorch, MTCNN, and Streamlit/Flask for real-time interfaces.

I am driven to apply data-driven solutions to real-world problems, continuously learn new tools, and contribute to products that improve decision-making, user engagement, and system reliability.

Experience

Work history, roles, and key accomplishments

Current

Software Developer Intern

Current

Elfinity Technologies

Mar 2025 - Present (9 months)

Built full-stack AI-powered applications and cloud analytics systems, integrating AI modules (Career Mentor, Research Summarizer, Interior Designer) and supporting ML model implementation and data preprocessing.

Python MongoDB Full Stack Integrating AI Models data preprocessing Web Development

Data Science Intern

AI–VARAINT

Dec 2024 - Mar 2025 (3 months)

Developed an e-commerce customer annual spending prediction model via EDA, feature engineering, and testing multiple algorithms, identifying membership length and app usage as key drivers.

Python Random Forest SVM Model Evaluation SQL

INCOIS Intern

INCOIS

May 2024 - Jun 2024 (1 month)

Applied two downscaling techniques (Static and Head Loss) using Kalpana to create high-resolution coastal flood maps, demonstrating Head Loss provided more accurate flood predictions for risk assessment.

Python GRASS GIS Docker Miniconda Data Analysis

Education

Degrees, certifications, and relevant coursework

Sreenidhi Institute of Science and Technology

Bachelor of Technology, Computer Science (AI & ML)

2021 - 2025

Grade: 6.90 CGPA

Activities and societies: Projects: Fake News Detection, Phishing Website Detection, Deepfake Detection; internships at INCOIS and Elfinity Technologies.

Bachelor of Technology in Computer Science (AI & ML) with a current CGPA of 6.90, completed coursework and projects in machine learning, deepfake detection, and web-deployed AI systems.