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Founder + CEO @ K28 Design Lab, AI Product Builder, Independent Researcher
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
K28 Design Lab
Data Scientist
June 21, 2026 – Present
Plasticity-Agent
June 7, 2026 – Present
Neuroplastic memory, self-healing, and critical reasoning for AI agents — a local-first, framework-agnostic Python runtime.
View Projectctxbudgeter
May 14, 2026 – Present
ContextOps toolkit for production AI agents. Compile, govern, scan, visualize & optimize LLM context before every model call — token budgets, policy governance, PII/secret scanning, Context Bill of Materials, diffing, Context MRI, MCP budgeting. Framework-agnostic. Local-first. Deterministic.
View Projectoctagit
April 25, 2026 – Present
Turn a GitHub issue into a tested pull request — agent-driven, failure-first.
View ProjectGeneral-Relativity-Physics-Simulation
March 7, 2026 – Present
An interactive 3D simulation for exploring general relativity with visual + quantitative diagnostics
View ProjectFintech-DataOps-Platform-Central-Data-Repository-Demo
December 2, 2025 – December 2, 2025
DataOps Architecture and Central Data Repository for a modern Fintech product
View ProjectgstGPT-Agent
November 26, 2025 – November 26, 2025
An AI Agent for India GST operations for clients and SMEs
View ProjectHierarchical-Reasoning-Machine
August 4, 2025 – August 4, 2025
A PyTorch implementation of a Hierarchical Reasoning Machine (HRM) for generating structured mathematical decompositions as "proofs." Demonstrates hierarchical recurrence, 1-step gradients, and adaptive computation for toy reasoning tasks.
View ProjectMulti-Agent-Text-to-SQL-and-ML-Insights-System
July 14, 2025 – July 14, 2025
This GitHub repository organizes the multi-agent system built with LangGraph for advanced text-to-SQL.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for AI/ML and data science through numerous personal projects, many of which are cutting-edge (e.g., multi-agent systems, neuroplastic memory for AI agents). This aligns well with an innovative and research-oriented culture. The diversity of projects, from fintech to general relativity simulations, shows intellectual curiosity and a broad interest in applying technical skills. However, the lack of professional experience beyond a current 'Data Scientist' role with a future start date, and no listed education or certifications, makes it difficult to fully assess cultural fit in a structured corporate environment. The projects are heavily focused on AI/ML development rather than traditional data science tasks like statistical analysis, A/B testing, or business intelligence, which might be a gap depending on the specific 'Data Scientist' role requirements.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and innovative approach to problem-solving, particularly in the AI/ML domain. The focus on 'failure-first' and 'local-first' development suggests an understanding of robust and practical system design. However, without specific assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.