workspace/mayank-tak/📝 about-me
AI/ML Stack
node_version: v20.xenv: PROD_READY
MT

Mayank TakAvailable for Work

Building scalable AI systems, RAG pipelines, and modern backend platforms for real-world applications.

Jaipur, Rajasthan, Indiamayanktak1563@gmail.com
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About Developer

Final-year B.Tech Information Technology student focused on AI/ML engineering, Retrieval-Augmented Generation (RAG) systems, backend architecture, and full-stack development. Experienced in building production-grade REST APIs, deploying containerized applications with Docker, designing vector-search pipelines using FAISS, and creating scalable cloud-ready systems on Azure and AWS. Passionate about combining machine learning with modern software engineering to build intelligent, performant developer products.

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RAG Systems

Expertise in building offline-first vector engines using FAISS, local embeddings, and document scrapers.

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Backend APIs

Designing robust, highly responsive Node.js and Flask APIs with secure stateful JWT integrations.

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Cloud DevOps

Deploying production-ready microservices using containerized Docker platforms and Azure schedules.

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Work History & Internships

Technical Analyst

Axestrack
Dec 2025 — Present
  • Developed core Transport Management System (TMS) modules including Sales Orders, Job Orders, Indent, Bidding, and Vehicle Placement systems.
  • Optimized PostgreSQL schemas and stored procedures improving logistics dashboard performance and backend response efficiency.
  • Worked on cloud deployment infrastructure supporting real-time GPS fleet tracking and operational telemetry.
  • Analyzed order-to-delivery workflows and documented scalable backend specifications for engineering teams.
PostgreSQLNode.jsREST APIsDockerCloud DeploymentSystem Design

Data Science Intern

Celebal Technologies
Jun 2025 — Aug 2025
  • Built customer segmentation pipelines using K-Means clustering to improve targeted marketing analytics.
  • Developed interactive Streamlit dashboards for real-time visualization and reporting automation.
  • Created scalable preprocessing workflows using Pandas and NumPy for feature engineering and outlier handling.
  • Worked within Azure environments to streamline ML data ingestion and preprocessing operations.
PythonMachine LearningK-MeansAzureStreamlitPandas

Machine Learning Intern

Kistechno Software
Jul 2024 — Aug 2024
  • Built Selenium and BeautifulSoup automation pipelines extracting 10,000+ records daily from dynamic websites.
  • Developed automated ETL workflows reducing manual data processing effort and improving ingestion speed.
  • Implemented data validation and cleaning systems before SQL database ingestion.
  • Created scalable Python scripting utilities for automation and analytics workflows.
PythonSeleniumBeautifulSoupETL PipelinesSQLAutomation
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Interactive Projects Database

Category:
AI/ML

Docify — AI Medical Consultation Platform

2 stars

A production-grade AI-powered healthcare consultation platform built using Retrieval-Augmented Generation (RAG), vector search, and LLM orchestration for intelligent medical assistance.

Key highlights:
  • RAG pipeline with semantic vector search using FAISS
  • AI-powered medical chatbot with intelligent query routing
PythonFlaskFAISSLLaMADockerJWT AuthenticationREST APIs
AI/ML

OCR-CHAT-PDF

4 stars

Offline-first RAG application capable of processing scanned PDFs using OCR fallback pipelines and semantic search for secure local document querying.

Key highlights:
  • Automatic OCR fallback for image-based PDFs
  • Private local vector search with zero external API dependency
PythonLangChainFAISSTesseract OCRSentence TransformersPyMuPDF
Full Stack

Urban Commerce E-Commerce Platform

3 stars

Modern full-stack e-commerce platform with secure authentication, inventory management, responsive UI, and scalable REST API architecture.

Key highlights:
  • Secure authentication and session handling
  • RESTful backend architecture
React.jsNode.jsExpress.jsMongoDBFirebaseTailwind CSS
Full Stack

LLM Calculator & Token Analyzer

1 stars

Interactive utility for estimating LLM token usage, API pricing, and context-window consumption across modern AI providers.

Key highlights:
  • Real-time token estimation
  • LLM pricing calculations
TypeScriptReact.jsTailwind CSSVercel

Skills Workspace Grid

AI / ML Engineering

Building intelligent retrieval systems, vector pipelines, and production AI applications.

RAG SystemsFAISS Vector SearchLangChainScikit-LearnLLM Integration
RAG Systems92%
FAISS Vector Search88%
LangChain82%
Scikit-Learn85%
LLM Integration84%

Backend Engineering

Designing scalable APIs, authentication systems, and high-performance backend services.

Node.jsExpress.jsFlaskREST APIsJWT Authentication
Node.js92%
Express.js90%
Flask86%
REST APIs95%
JWT Authentication90%

Frontend Development

Building responsive, modern, and interactive web applications.

React.jsNext.jsTypeScriptTailwind CSSRedux
React.js90%
Next.js82%
TypeScript85%
Tailwind CSS96%
Redux80%

Cloud & DevOps

Managing deployments, containerized services, and scalable infrastructure.

DockerAzureAWSPostgreSQLCI/CD Pipelines
Docker86%
Azure80%
AWS78%
PostgreSQL88%
CI/CD Pipelines76%

Interactive Workspace Stack

Click on any tech stack grid block above to expand details, see exact competence levels, and explore the mastery distributions of languages and cloud DevOps metrics.

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Github Contributions & Stats

Annual Open-Source Activity

Scraped live contribution heatmap
Visit Profile
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Repository Statistics
35Total Repos
13Stars Gained
120+Total Commits
7Languages
⭐ Data auto-updated via API loops
Repository Language Distribution
Python58%
JavaScript22%
C++10%
TypeScript6%
SQL & Others4%
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Deployments & Accolades

AI/ML

Built AI-Powered Medical RAG Platform

Engineered an intelligent healthcare consultation system using FAISS vector search, Flask APIs, and LLM-powered semantic retrieval.

Verified Production Impact
Backend Systems

Optimized PostgreSQL TMS Workflows

Improved logistics platform query efficiency and backend performance for transport management operations at Axestrack.

Verified Production Impact
Generative AI

Developed OCR-Based Offline RAG System

Created a privacy-focused PDF intelligence platform capable of processing scanned documents entirely offline using OCR and embeddings.

Verified Production Impact
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Get in Touch

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Reach Out Directly

I am open to discuss junior developer full-time roles, AI/ML backend engineering consultancies, or collaborative open-source tool integrations. Feel free to drops a line!

Developer Location:Jaipur, Rajasthan, India