Full Stack Developer 🚀| ML Engineer | Coding and tech enthusiast
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
FusionLabs AI
ML Engineer
June 13, 2026 – Present
-AI-Engineering
June 10, 2026 – Present
AI Engineering - from attention models to OS to inference and fine tuning
View ProjectFastAPI-tutorial-from-scratch
June 5, 2026 – Present
Complete backend(with AI) FastAPI tutorial from Scratch for anyone looking to work in python backend. Hands-on FastAPI + AI backend engineering lab, from basics to async, queues, caching, PDFs, vector search, and a full AI PDF summarizer capstone.
View Projectagentic_forecasting
May 23, 2026 – Present
Improving already implemented time series forecasting with overall ~1.5% error and >3% for 20% of times using agentic forecasting. It involves using agents at the top of statistical forecast to refine the decision of forecast based on real time parameters.
View Projectpython-multiprocessing-multithreading-concurrency
March 20, 2026 – Present
Building projects for advanced understanding of Multiprocessing, Multithreading, concurrency, asyncio, etc in python
View ProjectAI-backend
December 29, 2025 – Present
Backend with AI/LLMs/RAG and other systems integration
View Projectspeculative-decoding
October 7, 2025 – October 7, 2025
Implementation of https://arxiv.org/abs/2302.01318 paper by Google Deepmind - on Speculative Decoding and making LLM inference faster
View ProjectLLMs
January 4, 2025 – May 27, 2025
Attempting to understand and build Large Language Models from scratch, and building stuffs around it.
View ProjectDeep-Learning-Mastery
July 31, 2024 – December 11, 2024
Mastering Deep Learning, from Neural Networks to NLP and LLMs, all from scratch, using tensorflow and pytorch, and using huggingface and LangChain
View ProjectCultural Fit Analysis
The candidate's projects are highly aligned with an ML Engineer role, demonstrating a clear passion for AI and machine learning. The diversity of personal projects, from foundational deep learning to advanced LLM inference and agentic systems, suggests a curious and experimental mindset. However, the lack of collaborative projects or experience outside of personal endeavors makes it difficult to fully assess cultural fit in a team environment. The candidate's current role at FusionLabs AI, if it involves team collaboration, could be a positive indicator, but details are missing.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for self-learning and experimentation, which are positive traits. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, communication, or stress handling. The focus on personal projects suggests a proactive and independent work style.