I seek a role leveraging data analytics and engineering to drive intelligent product development. I want to build robust data pipelines, deploy ML models, and transform complex datasets into actionable insights. I look to apply my full-stack skills (Python, React, Node.js) and ROS2 experience to bridge data with scalable systems in an Agile environment that values a strong bias for action.
Shantanu User
@shhhantanu
CS engineer specializing in full-stack dev, data analytics, and ROS2 robotics. Fast learner with a strong bias for action.
What I'm looking for
I am a results-driven Computer Science Engineer specializing in building robust, scalable software and autonomous systems. My technical expertise bridges full-stack application development, data analytics, and intelligent systems, allowing me to engineer solutions that connect complex software architecture with practical, real-world applications.
With a deep proficiency across modern tech stacks—including Python, React, Node.js, and cloud infrastructure—I have engineered end-to-end applications from intuitive user interfaces to optimized backend pipelines. My experience extends into data engineering and machine learning, where I design and deploy ML pipelines that transform raw data into actionable business intelligence. Driven by a fascination with intelligent automation, I also have hands-on experience working with autonomous systems and robotics utilizing ROS2 (Robot Operating System).
Key Expertise & Core Competencies
Full-Stack Engineering: Architecture and development using Python, React, Node.js, and modern cloud ecosystems.
Autonomous Systems & ML: Practical implementation of ROS2 framework, robotics simulation, and machine learning pipeline development.
DevOps & Agile Methodologies: Continuous integration/continuous deployment (CI/CD) workflows, containerization, and cross-functional execution in fast-paced Agile sprints.
Professional Style & Interests
I operate with a strong bias for action and a passion for continuous learning. I thrive in collaborative, cross-functional environments where technical innovation intersects with product strategy. My professional interests lie at the cutting edge of software engineering, cloud architecture, and automation—specifically in roles where I can leverage machine learning and robotics to solve complex, high-impact infrastructure and software challenges.
Experience
Work history, roles, and key accomplishments
Data Science/ ML Intern
India Meteorological Department
Jun 2025 - Nov 2025 (5 months)
Built an end-to-end ML pipeline predicting daily lightning across India using ECMWF & NCEP data (120M+ records). Automated Parquet workflows for 0.5° spatial-temporal feature engineering. Trained XGBoost models for probabilistic forecasting with robust validation. Visualized risk zones via Folium heatmaps; versioned data artifacts with Git/LFS for reproducibility.
Software Engineer Intern
IANT
May 2022 - Jul 2022 (2 months)
3-mo Web Dev Intern: Built responsive apps using HTML/CSS, JS, React, and Node.js. Developed/optimized RESTful APIs to boost application performance and UX. Collaborated in cross-functional Agile teams to deliver features and debug issues. Gained hands-on full-stack experience utilizing Git version control and code reviews to ensure clean, production-ready code.
Education
Degrees, certifications, and relevant coursework
Pimpri Chinchwad University
Bachelor of Technology, Computer Science & Engineering
2023 - 2026
Grade: 8.5
Activities and societies: Prizes and Mementos Committee Member (Cultural Fest), Finalist in SIH 2025 (Software Edition) for Govt. of Kerala’s HealthTech problem (SIH25083); represented Pimpri Chinchwad University, Pune at NIT Durgapur, 2nd in Pcu's IOT project expo
B.Tech in Computer Science and Engineering. Maintained a strong academic focus on core computing principles, data structures, algorithms, and software engineering. Actively applied theoretical knowledge to practical domains through hands-on projects in machine learning pipelines, full-stack application development, and autonomous systems (ROS2), graduating with an industry-ready technical stack.
AISSMS Polytechnic
Diploma, Information technology
2020 - 2023
Grade: 7.9
Diploma in Information Technology. Gained foundational expertise in software development, computer networking, web technologies, and database design. Focused heavily on practical lab work and problem-solving methodologies, establishing the core technical framework required to transition into advanced engineering disciplines.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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