Heena Patel-AI Researcher
Check rate
Experience
Retirement Spend & Tax Optimizer Agentic AI App (Vibe Coding)
Personal Project
Self-directed exploration of agentic AI development methods, taken from idea to a working, publicly usable application
- Built an interactive planning tool for modelling retirement withdrawals and tax strategy using an agentic AI (vibe coding) development approach – demonstrating self-directed investigation of new AI-assisted development methods
- Delivered live, tax-aware spending projections and adjustable user inputs; shipped as a free, install-free browser application built in Python, with attention to usability for non-technical users
SelfPower : Renewable Energy Analytics System
Neue-frisch GmbH
Built and shipped a full-stack AI-enabled application integrating forecasting, optimization, and automated LLM reporting
- Built a full-stack prototype application (Streamlit) integrating multiple ML models, an optimization engine, and automated reporting – taking the idea from prototype to a working, demonstrable product
- Implemented automated LLM-based summarization for multi-language, multi-audience reporting, applying prompt design and structured-output techniques to make model outputs reliable and consistent
- Engineered data pipelines integrating REST APIs and external data sources into ML-ready representations using Python; built a Monte Carlo simulation framework for output quality and robustness analysis
- Designed the system with a focus on usefulness and trustworthiness for non-technical end users, balancing experimentation with disciplined engineering practices
Expert Task Author & Research Evaluator (AI Reasoning & Safety)
Aligned Labs
Applied ML evaluation for frontier AI models – designing measurement frameworks, identifying failure modes, and ensuring reliable AI output quality
- Designed and validated research-grade evaluation tasks and prompts tested across GPT-5.5, Claude, and Gemini building structured prompt and evaluation workflows similar to production AI quality pipelines
- Identified failure modes including hallucinations, reasoning gaps, and unsafe outputs; applied structured, reproducible statistical assessment frameworks to measure real model impact rather than proxy metrics
- Worked across multiple LLM providers and model generations, building practical, undogmatic knowledge of transformer architectures, prompt engineering, and LLM behaviour in production contexts
Postdoctoral Researcher Computational Engineering
Helmut-Schmidt-Universität Hamburg
- Processed large-scale HPC simulation data; built and validated 3D simulation workflows (OpenFOAM/C++) with profiling and benchmarking
Doctoral Researcher Scientific & Numerical Modelling
Universität Hamburg, CLICCS
- Built multi-scale C++/deal.II framework linking fine-scale physics to system-level behaviour on HPC clusters
Industry Experience
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Experienced in Education and Information Technology.
Business Area Experience
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Experienced in Information Technology, Research and Development, and Quality Assurance.
Summary
AI researcher and computational scientist with a PhD in numerical modelling and deep experience in data quality assessment, structured evaluation design, and rigorous ablation methodology. Specialized in the data-centric dimension of AI: understanding what a dataset signals, identifying defects and distribution issues that corrupt training or benchmark performance, and building reproducible evaluation frameworks that measure genuine capability rather than proxy metrics. Strong mathematical foundations in statistical mechanics, information theory, and numerical methods; hands-on Python and PyTorch experience; and a track record of applying scientific rigor to distinguish real performance gains from evaluation artefacts across frontier LLMs (GPT-5.5, Claude, Gemini) and scientific ML systems.
Skills
Ml / Models
Xgboost
Scikit-Learn
Lightgbm
Clustering
Lstm
Bayesian
Transformers / Llms
Pytorch
Stats / Eval
Experiment Design
Monte Carlo
Offline Evaluation
Evaluation Frameworks
Llm / Nlp
Llm Evaluation
Automated Workflows
Prompt Engineering
Ai Quality Assessment
Data / Eng.
Python (Pandas, Numpy, Matplotlib)
Streamlit
Git
Hpc / Linux
Sql
C++
Rest Apis
Languages
Education
Universität Hamburg
PhD · Earth Sciences · Germany
Lappeenranta University of Technology (LUT)
MSc · Technomathematics · Finland
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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