Headline

Backend Engineer | Python • Django • FastAPI • Distributed Systems • Data Engineering • Applied AI • 3.2 Years Experience

About

I've never been interested in becoming just one kind of engineer. I'm interested in understanding how complete systems are built. Real-world software doesn't care about job titles. Building production systems requires scalable backend services, efficient databases, distributed processing, cloud infrastructure, and increasingly, AI-powered applications. I enjoy understanding how these pieces fit together and learning whatever the architecture demands. That curiosity has taken me across backend engineering, database systems, distributed systems, data engineering, and AI. I don't see these as separate disciplines—I see them as different layers of the same engineering stack. I learn by building real systems and writing about what I learn to deepen my understanding and help others. 𝗪𝗵𝗮𝘁 𝗜'𝘃𝗲 𝗕𝘂𝗶𝗹𝘁 • At DataVedik, I developed a well-log digitization platform that converts scanned well-log images into standardized LAS files using Python, computer vision, OCR, and signal-processing algorithms. The platform automated the extraction of geological data, helping petrophysicists reduce manual digitization effort and accelerate reservoir evaluation. • Built CoursePay, a Django-based payment backend to gain hands-on experience with third-party payment gateway integration using Razorpay, implementing secure payment workflows, webhook processing, idempotent APIs, payment reconciliation, asynchronous task processing with Celery, and deployment on AWS. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • Backend Engineering (Python, Django, FastAPI) • Software Engineering (OOP, Design Patterns, SOLID) • Concurrent Programming (Multithreading, Multiprocessing, Async Programming) • System Design (HLD/LLD) & DSA • Data Engineering & Distributed Systems (Apache Spark, Hadoop, Hive) • AI Engineering & Machine Learning • Database Systems (PostgreSQL, MongoDB, SQL) • Cloud & Infrastructure (AWS, Docker, Linux) I'm currently pursuing an M.S. in Computer Science (Scaler Neovarsity / Woolf University) while publishing technical articles on Apache Spark, backend engineering, distributed systems, and AI. Open to Backend Engineer, Data Engineer, AI Engineer, Applied ML Engineer, and Applied Scientist opportunities. 📩 shantanuekhande19@gmail.com

Location

Nashik

AI stack

claude

deepseek

github copilot

hugging face

notebooklm

Work experience

Professional development at Career Break, Aug 2025 - Present · 1 yr 3 mos, India, Coursework covered DSA, Advanced DSA, SQL, ACID transactions, indexing, relational database internals, backend engineering, OOP, low-level design, concurrency, multiprocessing, high-level system design case studies, distributed systems fundamentals, and data engineering fundamentals.

Senior Data Scientist at dataVediK, Jun 2022 - Aug 2025 · 3 yrs 3 mos, Hyderabad, Telangana, India, • Developed a well-log digitization product for the oil and gas sector at DataVedik. • Engineered the core extraction and conversion engine, enhancing data usability for petrophysical interpretation. • Executed log-pass detection, header and depth extraction, and LAS file generation to streamline analysis. • Collaborated with cross-functional teams to ensure seamless integration and functionality of the product.

Education

Master of Science, Scaler

Advanced Certification, Data Science and Machine Learning, Applied AI Course

Public links

github: https://github.com/Shantanuekhande