Professional Role and Responsibilities
Prathamesh Lakawade is currently employed as a Software Engineer within the Lyve Cloud Team at Seagate Technology, based in the United States. In this capacity, he is engaged in the design, development, and optimization of large-scale, cloud-native storage and data engineering solutions, particularly focusing on distributed data pipelines and workflows leveraging cloud infrastructure. His technical contributions support Seagate’s advanced data storage and cloud services offerings, positioning him as a key contributor to product innovation in scalable data management and engineering.
Educational Background
Prathamesh is pursuing a Master of Science in Data Science, Analytics, and Engineering at Arizona State University (ASU) (2024–2026), which builds on his foundational knowledge obtained through a prior degree in Computer Engineering (2018–2022). His advanced studies inform his applied work in machine learning, data engineering, and analytics, contributing to his current role's technical demands.
Technical Expertise and Skills
Prathamesh’s expertise spans:
- Cloud-Native Architectures: Building scalable storage systems and distributed data pipelines on cloud platforms.
- Data Engineering: Skilled in Apache Spark, ETL/ELT processes, and automated data transformations with focus on schema detection and business insights extraction.
- Programming and Automation: Proficient in Python and Java, supported by certifications in Java Object-Oriented Programming, Docker, Git/GitHub, and Postman APIs.
- Machine Learning & AI: Practical experience in ML applied to data engineering workflows; actively engaged with tools such as LangChain and Retrieval-Augmented Generation (RAG) architectures.
- Database and Backend Development: Proven ability to design and implement SQL-based, secure data storage applications, including healthcare systems integrating NLP-driven virtual assistants and video/text consultation capabilities.
Project Highlights and Publications
- Authored “Aarogya Centre – A Complete Healthcare Website”, published in the International Journal for Research in Applied Science and Engineering Technology (IJRASET), Volume 10, Issue 4, 2022, pages 1994-1997. The project applied Python, Flask, MySQL, Bootstrap, and Natural Language Processing to engineer a healthcare platform facilitating remote patient care through AI chatbots, video consultations, and secure medical records management.
- Developed Pipeline Genie, an intelligent data pipeline integrating schema inference and automated ETL triggered by business input, leveraging LLaMA 2.0 and AWS S3 storage solutions.
Professional Recognition
- Awarded corporate distinctions such as “Treat It Like It's Your Own” and “Focused & Committed” certificates at Hansen Technologies, recognizing his ownership mentality and dedication.
- Demonstrated leadership and technical prowess during the 2024 Opportunity Hack Hackathon, where he played a pivotal role in requirements gathering and solution design for a wildlife rescue application's data intake system, evidencing strong analytical and team collaboration skills.
Languages and Communication
- Fluent in English, Hindi, and Marathi at a professional level.
- Active contributor to technical and professional communities, with over 879 followers and 500+ connections on LinkedIn, reflecting a broad and engaged professional network.
Recent and Relevant Activities
- Regularly participates in developer conferences such as Samsung’s SDC24 and industry events like the Grace Hopper Celebration (GHC) 2025 to remain updated on emerging technology trends.
- Engages in ongoing experimentation with AI techniques and data engineering innovations, including building Retrieval-Augmented Generation systems within Windows Subsystem for Linux (WSL2).
- Shares insights and technical tutorials on platforms like LinkedIn and GitHub, indicating a commitment to knowledge dissemination and community support.
This comprehensive profile identifies Prathamesh Lakawade as a technically proficient, academically advanced, and actively engaged software engineer specializing in cloud-based data storage and engineering solutions at Seagate Technology. His combination of practical engineering experience, advanced academic training, and recognition for ownership and focus positions him as a strategic contributor to Seagate’s cloud services and data infrastructure initiatives. His ongoing involvement in AI and machine learning advancements further supplements his role’s relevance in driving innovation within Seagate’s product ecosystems.
