Al-Farabi Akash

Data Scientist & Backend Developer

Back-end Developer and Data Scientist with expertise in AI/ML technologies, specializing in developing scalable applications and implementing machine learning solutions. Experienced in both software development and data analysis, with a strong foundation in computer science and applied statistics.

+8801703212426 alfa.farabi@gmail.com
Al-Farabi Akash

About Me

Languages

Python R JavaScript SQL RESTful APIs Microservices

Frameworks

Django Flask FastAPI ReactJS NextJS

Libraries

NumPy Pandas TensorFlow PyTorch Scikit-learn OpenCV

Machine Learning

LLM Generative AI Fairness-Aware Learning

Data Science

Data Mining Data Pipelines Ethical AI Power BI Tableau

Tools

Docker Git Tableau PowerBI

Experience

Data Scientist and Full Stack Developer

Cloud Tech One

Apr 2024 - Now

  • Developed AI features using Large Language Models (LLMs) to create customized guided meditation scripts based on user input.
  • Researched the impact of meditation on mental health across different demographics.
  • Fine-tuned machine learning models to meet specific business needs, boosting accuracy and performance.
  • Built high-performance backend applications with Python, FastAPI, and Django.
  • Created user-friendly interfaces with ReactJS, integrating them with backend systems.
  • Designed database schemas and managed operations to ensure data integrity and security.
  • Maintained server environments for optimal application performance and reliability.
  • Implemented analytics dashboards for insights on user engagement and platform performance.
  • Worked with cross-functional teams to incorporate mental health insights into features.

Data Scientist and LLM Developer

Queries AI

Oct 2023 - Mar 2024

  • Used ChatGPT and RAG methods for resume analysis and candidate shortlisting.
  • Conducted web scraping and data analysis to enhance recruitment.
  • Built Flask microservices for resume parsing and job comparison.
  • Developed a job analysis system using OpenAI and vector technology.
  • Automated workflows and scripts with Python and n8n.
  • Analyzed LinkedIn data for talent insights.
  • Forecasted talent needs and identified skill gaps.

AI Engineer

LEADS Corporation Limited

Nov 2020 - Sept 2023

  • Developed and maintained backend systems with Django and REST framework for smooth client integration.
  • Analyzed complex datasets to uncover trends and insights for strategic decisions.
  • Designed, trained, and deployed machine-learning models for predictive analytics and recommendations.
  • Enhanced model performance through hyperparameter tuning and efficient preprocessing.

Projects

Meditation Generation Platform

LLMs AI Django REST

Customized Guided Meditation using LLMs for enhanced user experience to address diverse emotional and mental health needs.

  • Personalized meditation scripts using advanced LLMs.
  • Generated audio for guided meditation.
  • Integrated AI conversational agents for personalized support.

Talent Management System

OpenAI Vector FastAPI

AI-powered talent analysis system leveraging OpenAI and Vector Technology for advanced recruitment and skill gap analysis.

  • Automated LinkedIn data processing workflows
  • Talent needs forecasting
  • Skill gap analysis

NLP-based HR Recruitment System

Django ML NLP

Advanced interview system combining face recognition, emotion detection, and NLP for comprehensive candidate evaluation.

  • Face recognition and emotion detection
  • Ensemble ML models for NLP
  • Resume data analysis

Fund Raising System

Django REST NextJS Payment Integration

Comprehensive donation tracking and campaign management system with modern tech stack.

  • Campaign management interface
  • Payment processing integration
  • Reporting and analytics

Analytics Dashboard

Tableau PowerBI Data Analysis

Interactive dashboards for business analytics and visualization.

  • Sales and growth pattern analysis
  • Risk management metrics
  • Predictive analytics
View Dashboard

Research Publications

Real Time Bangladeshi Sign Language Detection using Faster R-CNN

2018

Research focusing on real-time detection and interpretation of Bangladeshi Sign Language using advanced computer vision techniques and deep learning models.

Computer Vision Deep Learning R-CNN
Read Paper

BdSL36: A Dataset for Bangladeshi Sign Letters Recognition

2020

Introduction of a comprehensive dataset for Bangladeshi Sign Language recognition, featuring 36 distinct sign letters and supporting advanced machine learning research.

Dataset Sign Language Machine Learning
Read Paper