a
arifur_anik

Anik

@arifur_anik

Building trustworthy solutions with honesty and quality

Bangladesh
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
Hi, I'm Arifur, a Python Developer and LLM Specialist. I build AI-powered products and production-ready backends. Chatbots, RAG and semantic search (GPT, BERT, embeddings) ML with TensorFlow and PyTorch APIs with FastAPI, Django REST, Flask React and Next.js frontends Scraping with Scrapy and Selenium Elasticsearch (certified) Honest communication, clean code, on-time delivery. Message me your project idea and I'll reply with a plan and timeline. 🚀... Plus d’infos

Compétences

a
arifur_anik
Anik
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Tableaux de bord des données
I will build elasticsearch search and set up kibana and logstash
Administrateur de base de données (DBA)
I will set up a self hosted geocoding nominatim server for any country

Portfolio

Expérience professionnelle

jobdesk

AI/ML Developer

jobdesk • Temps plein

Sep 2022 - Present • 4 yrs 1 mo

Worked as an AI/ML Developer at Jobdesk, a job-matching platform, building search, recommendation, and data systems used in production. Key projects: Job Recommendation Engine (Elasticsearch) Designed the index and relevance scoring to match candidates with the most suitable jobs based on skills, experience, location, and salary. Delivered fast, filterable results through a Python API. Semantic Search with Embeddings Built semantic search using BERT and embeddings so results match meaning, not just keywords, improving the quality of job and candidate matches. Resume Parsing and NLP Pipeline Developed NLP models to extract skills, job titles, and experience from resumes and job posts, turning unstructured text into clean, searchable data. Web Scraping and Data Pipelines Built scalable scrapers with Scrapy and Selenium to collect and clean job data from multiple sources, with scheduling and error handling. AI Chatbot and LLM Features Created chatbot features using GPT and RAG to answer user questions from platform data. Production APIs Built and maintained secure, documented APIs with FastAPI, Django REST, and Flask, and integrated ML models into the backend. Tools: Python, Elasticsearch, TensorFlow, PyTorch, FastAPI, Django, Flask, Scrapy, Selenium, React.