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Data Engineer with less than a year in AI/ML, Reinforcement Learning, and full-stack development, se
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Final-year CSE (AI/ML) student at Sathyabama with hands-on experience building and deploying data and AI systems - including a containerized RL environment for SQL debugging (live on Hugging Face), a neuro-symbolic fraud detection system on a 6M+ transaction dataset, and co-authorship of an Indian patent in blockchain-based stock prediction. Proficient in Python, SQL, and ML frameworks. Seeking a data engineering role where I can apply both programming depth and analytical thinking to real business problems.
Sathyabama Institute of Science and Technology
B.E. Computer Science & Engineering · AI/ML Specialization
August 1, 2023 – June 30, 2027
Vividhra Pvt. Ltd.
Full-Stack Developer Intern
November 1, 2024 – December 1, 2024
Chennai, Tamil Nadu, India
SQL Review RL Environment
January 1, 2026 – June 1, 2026
Designed and deployed a containerized RL environment for SQL query debugging, implementing the full OpenEnv spec (step/reset/state APIs, typed Pydantic models, WebSocket support). Deployed via Docker to Hugging Face Spaces with a live REST API and interactive docs.
View ProjectFinGuard: Neuro-Symbolic AI Auditor
January 1, 2026 – June 1, 2026
Built a hybrid AI system combining LLM reasoning and Knowledge Graphs to detect financial crimes in a 6M+ transaction dataset. Used RAG to ground AI outputs in FATF legal standards, reducing hallucinations in compliance verdicts. Implemented a Neo4j-based engine to trace money-laundering chains and produce explainable audit results.
AI-Powered Sensory Web Content Reader
January 1, 2026 – June 1, 2026
Developed a web app with multi-mode summarisation (Concise, Detailed, Teaching) using Hugging Face BART. Added accessibility features including dyslexia-friendly fonts, adjustable text size, visual themes, and text-to-speech.
Data Science & ML Portfolio
January 1, 2026 – June 1, 2026
Spotify Recommendation System: personalised music recommendations using collaborative filtering. Stock Price Prediction: LSTM model for time-series forecasting of stock prices. Cardiovascular Disease Prediction: classification models to predict patient risk from clinical data.
View ProjectTechnology Job Simulation
August 1, 2025 – June 1, 2026
Completed development and coding tasks and wrote a proposal for building a dashboard.
Oracle Cloud Infrastructure: Data Science Professional
Oracle Cloud
June 1, 2026 – Present
Oracle Cloud Infrastructure: AI Foundations Associate
Oracle Cloud
June 1, 2026 – Present
IBM Professional Data Science (Data Cleaning, Analysis, Visualization, Model Building)
IBM
June 1, 2026 – Present
Google Cloud: Prompt Design on Vertex AI (Generative AI, Gemini APIs, Prompt Engineering)
Google Cloud
June 1, 2026 – Present
MATLAB: Machine Learning & Linear Algebra
Unknown
June 1, 2026 – Present
NPTEL: Software Testing
NPTEL
June 1, 2026 – Present
UiPath: Introduction to Agentic Automation
UiPath
June 1, 2026 – April 1, 2026
Cultural Fit Analysis
The candidate's diverse academic projects, ranging from financial crime detection to accessibility features and RL environments, indicate a broad interest in applying data and AI to various domains. This diversity, coupled with a strong focus on AI/ML specialization, aligns well with an innovative and data-driven culture. The pursuit of multiple certifications also suggests a self-starter mentality and a commitment to professional development, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude towards learning and project execution, as evidenced by numerous academic projects and certifications. The ability to work with designers and developers (as noted in the internship) suggests a capacity for collaboration. However, the limited professional experience makes it difficult to fully assess operational fit, stress handling, and long-term team collaboration skills.