Founder + CEO @ K28 Design Lab, AI Product Builder, Independent Researcher
AI is analyzing your overall score…
Identifying your key strengths…
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.