You will get Machine Learning Engineer – Model Fine-Tuning & Benchmarking (Multi-Modal)
Top Rated
Project details
I specialize in fine-tuning, benchmarking, and deploying machine learning and multi-modal AI models that deliver measurable business value. What sets me apart is my ability to combine deep machine learning expertise with practical engineering to build production-ready solutions.
I work with text, image, audio, video, and multi-modal datasets, leveraging state-of-the-art models such as LLaMA, Mistral, Gemma, Qwen, CLIP, Whisper, and Vision Transformers. My approach includes data preparation, model fine-tuning, hyperparameter optimization, benchmarking, performance evaluation, and scalable deployment.
Skills:
◆ Large Language Models
◆ Natural Language Processing (NLP)
◆ Computer Vision & Image Processing
◆ PyTorch, TensorFlow & Hugging Face
◆ LoRA, QLoRA & Parameter-Efficient Training
◆ Model Benchmarking & Performance Evaluation
◆ MLOps, Deployment & Cloud Infrastructure (AWS/GCP/Azure)
I deliver reliable AI solutions backed by clear reporting, documentation, and best engineering practices.
Please share your dataset, target use case, model preferences, evaluation metrics, expected performance goals, deployment requirements, and any existing training or benchmark results.
I work with text, image, audio, video, and multi-modal datasets, leveraging state-of-the-art models such as LLaMA, Mistral, Gemma, Qwen, CLIP, Whisper, and Vision Transformers. My approach includes data preparation, model fine-tuning, hyperparameter optimization, benchmarking, performance evaluation, and scalable deployment.
Skills:
◆ Large Language Models
◆ Natural Language Processing (NLP)
◆ Computer Vision & Image Processing
◆ PyTorch, TensorFlow & Hugging Face
◆ LoRA, QLoRA & Parameter-Efficient Training
◆ Model Benchmarking & Performance Evaluation
◆ MLOps, Deployment & Cloud Infrastructure (AWS/GCP/Azure)
I deliver reliable AI solutions backed by clear reporting, documentation, and best engineering practices.
Please share your dataset, target use case, model preferences, evaluation metrics, expected performance goals, deployment requirements, and any existing training or benchmark results.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Amazon SageMaker, Azure Machine Learning, Keras, MLflow, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, PyTorch, RapidMiner, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | |||
Source Code | |||
Taxonomy |
Frequently asked questions
7 reviews
(7)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
NM
Nirmal M.
May 3, 2026
Continuous Authentication in Messaging Applications Using Behavioural Biometrics and Deep Learning
The team was accessible almost anytime, when needed for doubt clearing, installation, and debugging help.
BH
Ben H.
Feb 26, 2026
CIN7 API Integration v2
JW
Joshua W.
Jan 5, 2026
Python Development
JE
Julian E.
Oct 20, 2025
Ai Development
JW
Joshua W.
Jul 8, 2025
Python Development
About Sunil
AI Engineer| Python, AI/ML, SQL, ETL, RAG Pipeline, LLM, NLP, REST API
91%
Job Success
Delhi, India - 4:44 am local time
🏆 Top Rated 👨💻 𝘈𝘷𝘢𝘪𝘭𝘢𝘣𝘭𝘦 immediately ✅ 100% Job Success 🚀 On-time Delivery
I design and develop intelligent AI-powered applications that automate business processes, improve decision-making, and enhance customer experiences. With expertise in Python, Machine Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, SaaS platforms, and cloud technologies, I build scalable solutions from concept to production.
🎯 Core Skills
✔ Artificial Intelligence (AI)
✔ Machine Learning (ML)
✔ Generative AI
✔ Large Language Models (LLMs)
✔ Retrieval-Augmented Generation (RAG)
✔ AI Agent Development
✔ Multi-Agent Systems
✔ Prompt Engineering
✔ Natural Language Processing (NLP)
✔ Deep Learning
✔ Predictive Analytics
✔ Data Science
✔ SaaS Development
✔ Backend Development
✔ API Development
✔ Workflow Automation
✔ Cloud Computing
✔ MLOps
✔ Data Engineering
✔ Dashboard & Reporting
My experience includes developing AI chatbots, multi-agent systems, document intelligence platforms, recommendation engines, predictive analytics solutions, workflow automation tools, and enterprise SaaS applications. I specialize in integrating OpenAI, Claude, Gemini, and open-source LLMs with modern backend architectures using FastAPI and cloud infrastructure on AWS.
From data collection and model training to deployment, monitoring, and optimization, I deliver end-to-end AI solutions that help businesses reduce operational costs, increase efficiency, and unlock valuable insights from their data.
⚙️ Tech Stack
➤ Programming Languages
Python, React, Node.js, Django, Flask, FastAPI, Next.js, jQuery, SQL, JavaScript, TypeScript, HTML, CSS
➤ AI & Machine Learning
OpenAI GPT, Claude, Gemini, Llama, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, TensorFlow, PyTorch, Scikit-Learn, XGBoost
➤ RAG & Vector Databases
Pinecone, Weaviate, ChromaDB, FAISS, Qdrant, Elasticsearch
➤ Backend Development
FastAPI, Flask, Django, REST APIs, GraphQL, WebSockets
➤ Databases Development
PostgreSQL, MySQL, MongoDB, Redis, Airtable, DynamoDB, Neo4j, Elasticsearch, OpenSearch
➤ Cloud & DevOps
AWS, Docker, Kubernetes, Terraform, GitHub Actions, CI/CD Pipelines, Linux
➤ Data Visualization
Power BI, Tableau, Looker, Kibana, Grafana, Elasticsearch, Streamlit, Plotly, Dash, R
➤ Automation & Integration
OpenClaw, Zapier, Make, n8n, Apache Airflow, Pipedream, Celery
➤ CRM & Sales Automation
HubSpot, Salesforce, GoHighLevel (GHL), Pipedrive, Zoho CRM, Streak CRM
➤ Communication Automation
Twilio, SendGrid, Gmail API, Outlook API, Slack, Microsoft Teams, WhatsApp Business API
🏢 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦
Healthcare, Finance & FinTech, E-commerce, Real Estate, Education, Legal Tech, Marketing & Sales, Logistics & Supply Chain, Human Resources, Customer Support, Manufacturing, SaaS Startups & Enterprises
Keywords: Data Scientist, AI Developer, Machine Learning Engineer, Business Intelligence Developer, Power BI Expert, Dashboard Developer, Python Developer, Data Analyst, AI Agent Developer, Generative AI, ChatGPT, OpenAI, RAG, ETL, SQL, Data Engineering, SaaS Development, Analytics Consultant, KPI Dashboard, Data Visualization, Backend Engineer, Full Stack Developer, API Integration, AI Engineer, MCP Server, LLM Apps, RAG Pipeline, Vector Database, Graph Database, LangChain, LangGraph, GraphRAG, LangSmith, Neo4j, Elasticsearch, Kibana, Grafana, OpenClaw, OpenSearch, AI Bot, Agentic AI, Workflow Automation, AI Automation.
I offer 𝟯𝟬 𝗺𝗶𝗻 𝗽𝗮𝗶𝗱 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻𝘀 for AI architecture review, build vs. buy decisions, and MVP scoping.
━━━━━━━━━━━━━━━━━━━━━━━
💬 LET’S BUILD
━━━━━━━━━━━━━━━━━━━━━━━
👉 Send me a message — I’ll help you design and build it the right way.
Steps for completing your project
After purchasing the project, send requirements so Sunil can start the project.
Delivery time starts when Sunil receives requirements from you.
Sunil works on your project following the steps below.
Revisions may occur after the delivery date.
Model Evaluation & Baseline Setup
Includes: ◆ Dataset review and preparation ◆ Baseline model training/evaluation ◆ Performance benchmarking ◆ Metrics analysis ◆ Data preprocessing pipeline ◆ Experiment tracking setup ◆ Evaluation report with recommendations
Fine-Tuning & Optimization
◆ Fine-tuning of open-source models ◆ Multi-modal model training (Text, Image, Audio, Video) ◆ Hyperparameter optimization ◆ Custom dataset integration ◆ Model comparison and benchmarking ◆ Performance analysis and reporting ◆ Technical Documentation