Data Scientist and AI Engineer | Deep learning | Software Engineering and Design Systems | Competetive Programming
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AlphaSwarm
June 1, 2026 – Present
A multi-tenant SaaS platform featuring an LLM-driven strategy compiler, FastAPI control plane, and isolated Celery, background workers for executing parallel quantitative trading algorithms
View ProjectTradeProject
May 8, 2026 – Present
Production-grade, event-driven algorithmic trading infrastructure for NSE India. Features real-time microstructure analysis (OFI, VPIN), Options Greeks/IV surface calibration, institutional risk controls (Kill Switch), and high-fidelity backtesting with Deflated Sharpe Ratio (DSR) validation
View ProjectNVDA_Stock_price_Predictor
March 7, 2026 – Present
NVDA_Stock_price_Predictor — GitHub repository
View ProjectBlacksEquation_Modified
September 23, 2025 – September 23, 2025
BlacksEquation_Modified — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on quantitative finance and trading, which aligns with a data-driven culture. However, the lack of diverse project types or team-based work makes it difficult to fully assess cultural fit beyond technical alignment. The target role 'Data Scientist' is well-aligned with the quantitative and analytical nature of the projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an ability to work on complex, multi-faceted problems, but direct evidence of collaboration, communication, or problem-solving under pressure is not available.