A Machine Learning developer who is motivated to become a pioneer in the field.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
playto-payout
April 27, 2026 – Present
Payout engine for Playto Pay. Django and Celery backend with idempotent payouts and row-level locking, React dashboard.
View Projectsap-order-to-cash-graph
March 24, 2026 – Present
sap-order-to-cash-graph — GitHub repository
View Projectfreelancing-portfolio
February 25, 2026 – Present
freelancing-portfolio — GitHub repository
View ProjectDistributionally-Robust-Representation-Learning-Framework
December 15, 2025 – Present
A modular, production-ready PyTorch framework for learning robust representations that generalize under distribution shift. Implements state-of-the-art robust training methods including ERM, SAM, and GroupDRO.
View Projectskills-hello-github-actions
December 15, 2025 – Present
Exercise: Create and run a GitHub Actions Workflow
View ProjectLLM-SFT-DPO-PEFT
October 5, 2023 – October 26, 2023
Mistral 7b - SFT on Alpaca + PEFT + DPO on HH-RLHF.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in machine learning and web development. The 'LLM-SFT-DPO-PEFT' and 'Distributionally-Robust-Representation-Learning-Framework' projects align well with a Data Scientist role, showcasing initiative and self-directed learning. However, the overall project diversity leans heavily towards personal projects with limited information on collaborative or team-based work, which might impact cultural fit in a highly collaborative environment. The experience level is listed as 0, which suggests a junior profile, potentially impacting fit for a senior Data Scientist role without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.