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I will debug and fix python bugs in your script, api or ml project
Abhijit
Acerca de este Servicio
Got a Python bug that's costing you time? I'll find it, fix it, and explain exactly what went wrong.
I'm a full-stack AI/ML engineer with hands-on production experience building FastAPI
backends, RAG pipelines, ML models, and data systems. I don't just patch symptoms; I trace the root cause and fix it properly.
What I fix:
- Python scripts, automation & CLI tools
- FastAPI / Flask / Django errors
- Pandas/NumPy & data pipeline bugs
- ML model errors (scikit-learn, XGBoost, TensorFlow, PyTorch)
- API integration issues (REST, SDKs, third-party services)
- Database connection bugs (PostgreSQL, MongoDB, MySQL, SQLite)
- Async/concurrency issues & performance bottlenecks
- Dependency conflicts & environment setup
- LangChain / RAG / vector DB bugs (Pinecone, Qdrant)
Why work with me:
- Real production experience RAG systems, ML pipelines, cloud sandboxes
- Clear communication I explain the fix, not just apply it
- Fast, clean, tested code
- Suggestions to prevent similar bugs in future
Send me your error log, traceback, or repo let's get it fixed today.
Conoce a Abhijit
Abhijit
AI ML Engineer Full Stack Developer RAG and LLM Expert
- DeIndia
- Miembro desdefeb 2025
- Responde aprox. en:1 hora
- Última entrega4 semanas
Idiomas
Bengalí, Hindi, Inglés
I’m an AI/ML Engineer and Full-Stack Developer with hands-on experience building AI, LLM, RAG, and Generative AI solutions. I’ve built RAG systems, AI agents, chatbots, APIs, and full-stack applications using Python, FastAPI, Next.js, React, TypeScript, Node.js, PostgreSQL, MongoDB, Pinecone, Qdrant, LangChain, OpenAI, and Gemini. My experience includes developing MediRAG at Euron and ML solutions at PW Skills and Elite Techno Group. I help startups turn ideas into scalable, practical AI products and automation solutions. I focus on clean code, usability, performance, and reliable delivery.
Mi porfolio
FAQ
Q1: What information do you need from me to get started?
Answer: Ideally your code file(s), the exact error message/traceback, and a quick note on what the code is supposed to do. The more context, the faster I can fix it.
Q2: Do you fix bugs in machine learning or AI projects specifically?
Answer: Yes — I have hands-on experience with RAG pipelines, LangChain, vector databases (Pinecone/Qdrant), and ML models (scikit-learn, XGBoost, TensorFlow), so I can debug AI-specific issues, not just general Python.
Q3: What if you can't fix the bug?
Answer: If after investigation I determine the issue is outside Python/backend scope (e.g. infrastructure or third-party service outage), I'll let you know immediately and we can discuss a partial refund or next steps — no wasted time on either side
Q4: Can you work with a large, existing codebase?
Answer: Yes — for larger multi-file projects, please go with the Premium package or message me first so I can scope the size and give an accurate timeline.
Q5: Will you explain what caused the bug, or just send back fixed code?
Answer: Depends on the package — Standard and Premium include a written explanation of the root cause and fix. Basic includes just the working code fix (documentation can be added as an extra)
Q6: Do you sign NDAs or handle confidential code?
A: Yes, I'm happy to sign an NDA for sensitive or proprietary codebases — just send it over before we start.
