Machine Learning Engineer at IBM | Data Scientist| Gen AI | Agentic AI | M.Sc. in Quantum Information
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IBM
Data Scientist
June 27, 2026 – Present
agentic-wealth-advisor
May 10, 2026 – Present
A Multi-Agent AI Platform for Personalized Investment Recommendations and Portfolio Optimization
View Projectstrands-agents-loan-evaluator
April 25, 2026 – Present
A multi-agent evaluation system for loan applications using AWS Strands agents and Bedrock models.
View Projectlangchain-doc-indexer
April 25, 2026 – Present
Automated pipeline for crawling LangChain documentation, chunking content, and indexing into vector databases using OpenAI embeddings and Tavily web crawler.
View ProjectLLM-Fine-Tuning-Pipeline
July 23, 2025 – July 23, 2025
This project is a production-grade, multi-modal LLM pipeline that combines image recognition with language generation using the BLIP-2 model. It enables image captioning and visual question answering (VQA).
View ProjectIDA-Historical-Data
May 6, 2024 – May 16, 2024
Using IDA historical data to predict the country which has a probability greater than 0.1 of being in debt with IDA.
View ProjectNon-MarkovianDynamics
February 14, 2024 – February 14, 2024
Qutip Monte Carlo to solve the dynamics of time-local non-Markovian master equations
View ProjectSupervised-ML
December 11, 2023 – December 13, 2023
OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R2), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and AI, which aligns with a Data Scientist role. However, the projects are predominantly personal and lack diversity in team collaboration or real-world business impact, which might indicate a need for development in a collaborative, production-oriented environment. The current role at IBM is listed as starting in the future (2026), making it difficult to assess current professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.