Siddharth Bhatt User
@siddharthbhattuser
AI/ML-focused software engineer with 3+ years building data-intensive systems and Generative AI applications.
What I'm looking for
I am a software engineer with 3+ years of experience building data-intensive applications and a current MSc Data Science candidate at King's College London. I am actively pivoting into AI/ML engineering with hands-on experience in Generative AI, RAG systems, and ML data pipelines.
At Yokogawa I built a multi-functional Generative AI application and architected data preparation workflows using Python, Pandas, and NumPy to produce clean inputs for AI pipelines. I containerised services and automated CI/CD with Docker and Azure DevOps, improving deployment efficiency by 25%.
In roles across data platform and IoT analytics I optimised SQL queries, reduced API response times, and developed high-performance React dashboards and visualisation tools that improved responsiveness and decision-making. My projects include an end-to-end URL-based RAG ingestion service and retail sales forecasting models with demonstrable RMSE improvements.
I combine strong engineering foundations (Python, Docker, REST APIs) with growing expertise in LLMs, LangChain, and MLOps practices to deliver production-ready AI solutions. I seek roles where I can drive applied AI projects, build robust ML pipelines, and contribute to cross-functional engineering teams.
Experience
Work history, roles, and key accomplishments
Data & Analytics Engineer
Yokogawa India
Feb 2022 - Sep 2025 (3 years 7 months)
Built a multi-functional Generative AI application (YCHATGPT) and architected data preparation workflows to produce clean inputs for AI pipelines; containerised services and automated CI/CD to improve deployment efficiency by 25%.
Software Engineer – Data Platform
William O'Neil
Mar 2022 - Jan 2025 (2 years 10 months)
Optimised SQL queries and data pipelines for the PANARAY equity research platform, built high-performance ReactJS dashboards, and collaborated on backend improvements that reduced API response times by 30% and improved responsiveness by 25%.
Full-Stack Developer
Flutura Decision Sciences
Sep 2021 - Jan 2022 (4 months)
Built ML data preprocessing and feature engineering pipelines for real-time IoT sensor data and developed visualization tools to surface model outputs, improving decision-making for predictive maintenance use cases.
Education
Degrees, certifications, and relevant coursework
King's College London
Master of Science, Data Science
2025 -
Pursuing MSc Data Science with coursework and projects focused on applied machine learning, data pipelines, and generative AI.
Dayananda Sagar College of Engineering
Bachelor of Engineering, Electronics & Communication Engineering
2016 - 2020
Completed B.E. in Electronics & Communication Engineering with coursework in signal processing and embedded systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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