Ask HN: Who wants to be hired? (August 2025)

  Location: Istanbul, Turkey
  Remote: Yes, working for US companies and global teams remotely for 4 years. 
  Willing to relocate: open to travels but not relocation. 
  Technologies: LLM, AI-Agents, Python, PyTorch, TensorFlow, NumPy, pandas, scikit-learn, OpenCV, Hugging Face Transformers, FastAPI, Gradio, SQL, SQLite, PostgreSQL, MSSQL, REST APIs, Git, GitHub, Docker, Argo Workflows, Celery, RabbitMQ, Pinecone, OpenAI API, LangChain, Weaviate, RAG pipelines, CNNs, Transformers, MLOps, AutoML, XAI, MLflow, Streamlit, Flask, AWS, Jupyter, matplotlib, seaborn, pytest, shell scripting, CI/CD, Web scraping

  Résumé/CV:  https://drive.google.com/file/d/13-noXqbAhYvcUoqENXFSf_OZuMkGpzsq/view?usp=sharing ,  https://www.linkedin.com/in/mehmet-burak-sayici-a45294126/ 
  Email: mburaksayici@gmail.com 

- Built Gesund’s entire MLOps platform as the first engineer; the company was later named to CB Insights’ AI 100 in 2024, alongside OpenAI and other global AI leaders.

- Managed $400k+ in software contracts and represented Gesund in meetings with FDA and White House officials.

- Co-authored a Stanford-affiliated AI paper during an internship at Stanford Biomedical Data Science.

- Currently lead the AI Interview App at Career.io (5,000+ MAU), integrating LLMs, vector search (Chroma), and agent-based feedback loops.

- Developed two LLM+RAG applications post-Gesund: one for VC due diligence, another for growth-focused YC-style tooling, built without LangChain.

- Created an MLOps system for forecasting electricity in 8 cities using Python, PostgreSQL, weather APIs, LightGBM/XGBoost, and MLflow.

- Built a YouTube channel with 15k+ subscribers and a Udemy course on applied computer vision and deep learning.

Portfolio Links:

- Preprint of an internship placed at Stanford Biomedical Data Science Faculty "Analysis Of Multi Field Of View Cnn And Attention Cnn On H&E Stained Whole-slide Images On Hepatocellular Carcinoma" : https://arxiv.org/abs/2002.04836v1

- AI Interview Simulation app, 5k MAU+ : career.io/interview-prep

- First engineer at gesund.ai for 3 years, listed in CB Insights AI 100 2024 along with OpenAI. Managing 500k$ contracts, demoing to White House/FDA/senates. Healthcare MLOps Evaluation platform for FDA Approvals : gesund.ai

- Open Source XAI Library : https://github.com/mburaksayici/Why

- Blog on LLMs/MLOps : mburaksayici.com/blog

- Udemy course I've published at 2018, on practical usages of CNNs, entitled "Beyond MNIST Example: Practical Convolutional NNs" : https://www.udemy.com/course/beyond-mnist-example-practical-...

- Multilingual Youtube channel on ML/DL Theory/Applications that has 13.000 subscribers and more than half million views : https://www.youtube.com/MakineOgrenmesi

Location: New Delhi, India Remote: Yes Willing to relocate: No

Technologies: Mathematica, R lang, Python, SQL, Maple, Latex, Statistical Analysis, Hypothesis Testing, Data Modelling, Regression Modelling, Data Visualization

Résumé/CV: https://docs.google.com/document/d/1lKz_qk5d5UkwVsutRitWxUkc...

Email: ashimasood1993@gmail.com

I am an Astrophysicist with a PhD transitioning to Data Analysis. My 5+ years of research experience involved complex numerical computation, statistical modeling, and extensive data analysis in the field of Black Hole Thermodynamics.

My technical skills include: SQL, Python, R, MATLAB, Mathematica, Maple, and LaTeX. I'm proficient in Statistical Analysis, Hypothesis Testing, Data Modeling, Regression Analysis, and Data Visualization.

My academic background demonstrates strong analytical capabilities, with 5 papers published in peer-reviewed SCI journals featuring sophisticated data analysis and visualization. This research work required rigorous statistical methodologies, mathematical modeling, and communicating complex findings through effective visualizations.

I'm seeking a Data Analyst role where I can apply my quantitative analysis skills to extract insights from complex datasets. Particularly interested in positions involving statistical modeling, data manipulation, and creating meaningful visualizations that drive decision-making.

Please contact on ashimasood1993@gmail.com

Location: New York, NY

Remote: Open to remote/onsite/hybrid roles.

Willing to relocate: No.

Technologies: TypeScript, JavaScript, Ruby, Python, React, SQL, Node.js, AWS.

Résumé/CV: Available upon request.

Email: Esther.kim0910@gmail.com

I'm a software engineer based in New York, New York. I have multiple years of experience in both the Ruby and JavaScript ecosystems, and am comfortable with various AWS services and other technologies. Most recently I worked on creating Change Data Capture pipelines for real-time data streaming between microservices using Kafka, Debezium, and Server-Sent-Events.

Location: Dearborn, MI Remote: Yes, Open for hybrid or in-person roles as well. Willing to relocate: Yes Technologies: Python, C/C++,Bash, PowerShell, SQL, Splunk, QRadar, Microsoft Sentinel Résumé/CV: https://drive.google.com/file/d/1gOkVHuyOa4Mmcb_5bpWgoPSNlGx... Email: kaushiik1000@gmail.com