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AI Backend Engineer building production LLM agents, RAG pipelines, and scalable Python APIs with FastAPI, Django, cloud, and DevOps.
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Assessing your cultural and operational fit
Kubar.io
Data Scientist
June 28, 2026 – Present
django-fuel-route-optimizer
June 16, 2026 – Present
Django REST API that calculates cost-effective fuel stops along a U.S. route using fuel price data, vehicle range constraints, and external routing APIs.
View ProjectTranscription-Pipeline
April 29, 2026 – Present
Async transcription API built with Python, FastAPI, Deepgram, Supabase, Celery, and Redis. The service accepts audio as a multipart file, remote URL, or base64 payload, creates a queued job, and returns normalized transcript text with timestamped segments, word-level timestamps, speaker labels, and detected language metadata.
View ProjectAutomated-Book-Generation-System
April 27, 2026 – Present
FastAPI backend for a human-in-the-loop book generation workflow. It imports or creates book requests, uses the OpenAI Responses API to generate outlines and chapters, stores workflow state in Supabase, pauses at editor review gates, and compiles approved drafts into DOCX, PDF, and TXT files.
View ProjectWebpage-Knowledgebase-Chatbot
May 20, 2025 – May 20, 2025
Webpage-Knowledgebase-Chatbot — GitHub repository
View ProjectFlask-FastAPI-Comparision
May 10, 2024 – May 10, 2024
Flask & FastAPI Comparision with an Example
View Projectstreaming_gpt_fast_api
January 15, 2024 – Present
This project develops a streamlined chat service using GPT and FastAPI, allowing users to interact with AI in real-time. It features chat session creation, live AI response streaming via SSEs, and message history access.
View ProjectLangChain-for-LLM-Application-Development
October 9, 2023 – October 17, 2023
Jupyter Notebooks of Course of LangChain for LLM Application Development by DeepLearning.AI
View ProjectBuilding-Systems-with-the-ChatGPT-API
October 9, 2023 – October 9, 2023
Jupyter Notebooks of Course of Building Systems with the ChatGPT API by DeepLearning.AI
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal development and exploration of new technologies, particularly in the AI/ML and API development space. This indicates a proactive and self-driven individual. However, the projects are predominantly personal, and there is only one current professional role listed, which limits the assessment of collaboration and team-oriented cultural fit. The breadth of skills is good for a Data Scientist role, but the depth in specific areas like advanced statistical modeling or large-scale data engineering is not explicitly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data focuses solely on technical projects and a current role as a Data Scientist.