You will get AI Feasibility Audit & Technical Roadmap (Discovery Sprint)
Rising Talent
Project details
This project is a technical discovery sprint for AI, Machine Learning, and Computer Vision systems.
I help founders and engineering teams validate feasibility, choose the right models, and define architecture before committing time or budget to full development. The goal is to avoid building the wrong solution or discovering limitations too late.
Instead of jumping straight into implementation; I review your idea, prototype, or existing code and deliver a clear technical plan covering feasibility, model tradeoffs, system design, risks, and a realistic roadmap tailored to your constraints.
This is ideal if you are unsure whether AI is the right approach, which model to use, or how to structure your system.
You will leave with clarity, confidence, and a concrete path forward.
I help founders and engineering teams validate feasibility, choose the right models, and define architecture before committing time or budget to full development. The goal is to avoid building the wrong solution or discovering limitations too late.
Instead of jumping straight into implementation; I review your idea, prototype, or existing code and deliver a clear technical plan covering feasibility, model tradeoffs, system design, risks, and a realistic roadmap tailored to your constraints.
This is ideal if you are unsure whether AI is the right approach, which model to use, or how to structure your system.
You will leave with clarity, confidence, and a concrete path forward.
AI Development Type
Deep Learning, Model Tuning, Recommendation SystemAI Tools
MATLAB, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 5 days
- Number of Revisions 1
About Fariha
Production AI Engineer | Computer Vision & LLM Systems That Ship
Lahore, Pakistan - 11:54 am local time
Most projects I work on fall into two areas:
(1) Computer Vision systems (detection, segmentation, classification, video)
(2) LLM/RAG document intelligence (ingestion, retrieval, guardrails, structured outputs, agents)
If you are building something real, I can help you design and ship it properly.
⭐ Key Achievements
• Multimodal Video Pipeline: Built an automated system (script → visuals → TTS → lip-sync → video), reducing manual video production effort and enabling scalable content generation.
• Biotech Computer Vision: Improved microscopy detection accuracy by 13% in production, deploying a system actively used by 100+ users.
• Detection & Segmentation Pipelines: Built YOLO/OpenCV-based systems for satellite imagery, sports analytics, and inspection, improving detection reliability across real-world scenarios.
• LLM Systems: Built production LLM pipelines (Legal Risk Analyzer, agentic planners) that convert unstructured inputs into structured, actionable outputs (JSON) for downstream automation.
⭐ What I Can Help You With
• Computer Vision: Detection, segmentation, classification, tracking, video analytics(YOLO, OpenCV)
• LLM / RAG & Agents: OpenAI, Ollama, LangChain, embeddings, structured outputs, guardrails
• End-to-End AI Pipelines: data → model → API → deployment (FastAPI, Docker, AWS/GCP)
• Automation: n8n workflows for AI-driven pipelines and integrations
⭐ Tech Stack
• Languages & Frameworks: Python, PyTorch, TensorFlow
• Computer Vision: YOLO (v5/v8/v11), OpenCV, SAM; detection, segmentation, tracking
• LLM Stack: OpenAI, Ollama, LangChain, RAG, FAISS/Chroma
• Infrastructure: FastAPI, Flask, Docker, AWS/GCP, Streamlit, n8n
⭐ Why You Should Work With Me
• Production-first mindset: systems designed to run reliably, not just demos
• End-to-end ownership: from data to deployed API
• Focus on measurable impact: accuracy, reliability, and usability improvements
• Clear communication and fast iteration
Tell me what you are building, and I will help you turn it into a working system!
Steps for completing your project
After purchasing the project, send requirements so Fariha can start the project.
Delivery time starts when Fariha receives requirements from you.
Fariha works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Intake
You share your idea, prototype, existing code, datasets (if any), and constraints (budget, timeline, accuracy, environment).
Technical Review & Feasibility Analysis
I evaluate whether the proposed approach or idea is viable and identify key limitations early.