Nirvaan Lagishetty

Data Scientist

https://talent.gravityer.com/nirvaan-lagishetty

Product Engineer & Applied AI Developer | Building production-grade backend systems and AI-powered products

Mumbai, Maharashtra, India

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with AI/ML related projects (e.g., 'memex', 'Intelligent-Procurement-Agent', 'DermAnalyzer-v1', 'F1-Winner-Predictor-').
Exposure to knowledge graph concepts ('memex' project).
Familiarity with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML and data-related applications. The diversity of projects, from knowledge graphs to predictive models and chatbots, indicates a broad curiosity and willingness to explore different domains. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and cultural alignment in a professional setting. The projects align well with the technical aspects of a Data Scientist role, but the 'experienceLevel' is 0, suggesting a junior profile despite the complexity of some projects.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

memex

May 9, 2026 – Present

Persistent memory for AI coding agents via MCP — a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter + Gemini Flash → Neo4j (via Graphiti). 12 MCP tools, hierarchical clusters, two-regime confidence decay.

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Bleu-Plugin

May 5, 2026 – Present

Bleu - Claude Code plugin for living blueprints. Turns ideas into a file-backed markdown wiki (vision, architecture, ADRs, action points) that survives /clear and hands off to GSD or Superpowers.

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prompt-forge

April 3, 2026 – Present

prompt-forge — GitHub repository

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Intelligent-Procurement-Agent

February 8, 2026 – Present

Intelligent-Procurement-Agent — GitHub repository

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Quote-Management

February 2, 2026 – Present

Scrape, manage, and publish quotes with role-based access.

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Database-Chatbot

August 12, 2025 – August 12, 2025

Database-Chatbot — GitHub repository

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DermAnalyzer-v1

August 12, 2025 – August 12, 2025

DermAnalyzer-v1 — GitHub repository

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Ez-Cooking

July 27, 2025 – July 27, 2025

Ez-Cooking — GitHub repository

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F1-Winner-Predictor-

July 25, 2025 – July 25, 2025

F1-Winner-Predictor- — GitHub repository

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Contextual-Emoji-Assistant

July 25, 2025 – August 18, 2025

Contextual-Emoji-Assistant — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science.
Experience with AI/ML related projects (e.g., 'memex', 'Intelligent-Procurement-Agent', 'DermAnalyzer-v1', 'F1-Winner-Predictor-').
Exposure to knowledge graph concepts ('memex' project).
Familiarity with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Nirvaan Lagishetty

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit