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Co-founder & CTO @Alchemyst-ai | X-Eng @Memorang @arakoodev @Quantum-Leap-Labs @ai4bharat | GDC Fellow 2022 | GenAI/Deep Learning/SWE | OSS @Aviyel @unifyai
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alchemyst-ai
Data Scientist
June 20, 2026 – Present
marketplace-listing-generator
December 29, 2025 – Present
marketplace-listing-generator - Repository created from Orchids integration
View Projectlangtache
September 17, 2025 – November 20, 2025
Offramp from LangChain to simple function calls by the time your standup meeting ends.
View Projectawesome-saas
May 20, 2025 – Present
Collection of templates using the Alchemyst AI Platform for your next big AI app.
View ProjectMemoRAG
December 5, 2023 – February 27, 2024
a barebones implementation of an ExpressJS server with RAG pipeline without using LangChain or any other LLM Framework, with features for calling LLMs, data processing, etc built from scratch
View ProjectHealthAId
August 12, 2023 – November 22, 2023
A next-gen model leveraging the power of a company's existing knowledge base and foundational LLM models.
View Projectserpytor
October 5, 2022 – June 2, 2023
A distributed, low-code, end-to-end data collection and analysis tool for data folks. Take the pain out of data collection from your pipeline!
View Projectmapsec_server
September 26, 2022 – March 31, 2023
MapSec Backend Server prototype (built on FastAPI)
View Projectfossfolio
July 7, 2022 – July 20, 2023
A blazingly fast, fully hackable static site generator built on Python 3.9 with Markdown and templating support, with minimal dependencies
View Projectpymetrix
November 13, 2021 – January 12, 2022
A simple Plug and Play Library for getting analytics. See website for docs.
View ProjectOpnEco
July 7, 2021 – February 15, 2023
OpnEco is a Python3 project developed to aid content writers throughout the content writing process. By content writers, for content writers.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and open-source focused, indicating a strong drive for independent learning and contribution. The diversity of projects, ranging from AI platforms to data collection tools, suggests adaptability and a broad interest in technology. However, the lack of team-based or collaborative project descriptions makes it difficult to assess cultural fit in a corporate team environment. The current role as 'Data Scientist' at 'alchemyst-ai' aligns directly with the target role, but without further details on responsibilities or team interaction, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but no direct communication or psychometric test results are available for evaluation.