
Data platforms. AI systems. The infrastructure between them.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
June 21, 2026 – Present
mhc-visualizer
January 3, 2026 – Present
Interactive visualization of Manifold-Constrained Hyper-Connections (mHC) for stable deep network training
View Projectsteering-vectors-agents
December 15, 2025 – December 19, 2025
Runtime control of LLM agent behaviors through activation steering vectors. More calibrated than prompting.
View Projectspark-llm-eval
December 14, 2025 – December 21, 2025
Spark-native LLM evaluation framework with confidence intervals, significance testing, and Databricks integration
View Projecttriton-kernels
December 12, 2025 – Present
High-performance GPU kernels for LLM inference in OpenAI Triton. Fused RMSNorm, SwiGLU, INT8 GEMM with benchmarks and roofline analysis.
View Projectspeculative-decoding
December 8, 2025 – December 17, 2025
Reference implementation of LLM inference acceleration techniques. Includes speculative decoding, tree speculation, EAGLE, Medusa, KV-cache compression, and diffusion model efficiency with roofline analysis.
View Projectai-metacognition-toolkit
October 12, 2025 – December 21, 2025
Python toolkit for detecting and analyzing metacognitive capabilities in AI systems. Includes situational awareness detection, counterfactual CoT analysis, and production monitoring.
View Projectcredit_risk
August 29, 2021 – December 15, 2021
Forecast long sequence default/downgrade of corporate entities and financial assets based on structured and unstructured data.
View Projectsmpp-kafka-producer
March 15, 2020 – Present
High-performance SMPP-to-Kafka bridge with HTTP/2 API, Prometheus metrics, and Kubernetes support
View Projectblockchain-loyalty-fabric
January 9, 2018 – November 16, 2025
A Blockchain based Loyalty Programs platform (uses Hyperledger Fabric)
View ProjectISO8583-Simulator
August 23, 2017 – Present
Modern ISO 8583 simulator with CLI, Python SDK, and interactive notebooks. Parse/build/validate messages at 180k+ TPS. Supports all major card networks and EMV chip data.
View ProjectCultural Fit Analysis
The candidate's extensive personal projects demonstrate a strong passion for technology and continuous learning, which aligns well with an innovative culture. The diversity of projects, from blockchain to LLM optimization, suggests adaptability and a broad interest in cutting-edge fields. However, the lack of team-based project descriptions or professional experience details makes it difficult to fully assess collaboration and team fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical drive and ability to work on complex, self-directed initiatives.