Shreyash Lawate

B.E. Computer Science Engineering graduate with 16+ months of internship experience

Talent

PuneMember since June 24, 2026

PythonJavaJavaScriptSQLSolidityReactHuggingFace TransformersPandasStreamlitWeb3.jsHTML5CSS3GitCI/CDAgileNatural Language Processing (NLP)SteganographyCybersecurity fundamentals

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PythonJavaJavaScriptSQLSolidity

About

B.E.

Computer Science

Engineering graduate with 16+ months of internship experience across software development, Artificial Intelligence (AI) and Machine Learning (ML), blockchain, and cybersecurity. Proficient in Python, Java, JavaScript, and SQL with hands-on experience in data pipelines, REST APIs, CI/CD, and Agile delivery. Open-source contributor with production code merged into GraphHopper and Overture Maps. Immediate joiner.

Experience

Software Development Engineer Intern at Intellias Info Services Pvt Ltd (2025-12 – 2026-04)

Built a Java abstraction layer for GraphHopper to parse and ingest Overture Maps geospatial data; pull requests reviewed and merged by open-source maintainers.
Wrote unit and integration tests, maintained CI/CD pipelines, and documented engineering artifacts across Agile/Scrum sprints with senior engineers.
Contributed bug fixes to the production codebase; collaborated across engineering, product, and QA teams to deliver modules on schedule.

Cybersecurity Intern at IBM (2025-05 – 2025-06)

Built a fully working steganography tool in Python applying encryption and bit-level encoding; studied side-channel attack vectors and secure system design.

AI / ML Intern at Microsoft TechSaksham Program (2025-03 – 2025-04)

Built an AI-powered Health Chatbot in Python using a pre-trained HuggingFace Natural Language Processing (NLP) model with a Streamlit user interface.
Applied Pandas for data preprocessing and cleaning; researched NLP frameworks and documented solution design throughout the programme.

Blockchain Developer Intern at VOIS – Vodafone Intelligent Solutions (2025-01 – 2025-02)

Designed and deployed a fully working Decentralised Land Registry DApp using Solidity smart contracts, React, Web3.js, and IPFS storage end-to-end.
Presented architecture and security findings as a structured Proof-of-Concept to cross-functional stakeholders; zero exploits across all test scenarios.