You will get Vision services eg. Object Detection , Annotations , Tracking, Segmentation
Project details
As a data science professional, I have strong experience implementing a wide range of machine learning and deep learning techniques across real-world projects. I have worked extensively with YOLO models for object detection, segmentation, and custom dataset training—enabling high-accuracy visual recognition solutions. Alongside computer vision, I have deep expertise in LLM-based projects, leveraging LangChain, OpenAI, and related frameworks to build intelligent pipelines, AI agents, and automated reasoning systems.
My combined experience in computer vision and LLM engineering allows me to design and deliver cutting-edge, scalable, and production-ready AI solutions across multiple domains.
My combined experience in computer vision and LLM engineering allows me to design and deliver cutting-edge, scalable, and production-ready AI solutions across multiple domains.
Machine Learning Tools
ChatGPT, Keras, Microsoft Excel, Microsoft Power BI, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Scrapy, SQL, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,000
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 3 | 5 | Unlimited |
Number of Model Variations | 3 | 5 | 8 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 5 | 7 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50
Additional Revision
+$100
Additional Model Variation
(+ 1 Day)
+$100
Additional Scenario
(+ 1 Day)
+$100
Additional Graph/Chart
(+ 2 Days)
+$100
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GG
Guy G.
May 12, 2025
Ai agent, 8n8, relevance ai tutor
About Ishant
AI & Machine Learning | Artificial Intelligence, Information Analysis
Bilaspur, India - 6:58 pm local time
My experience includes advanced data processing, cleaning, and preparation workflows, enabling accurate, reliable, and structured outcomes from complex datasets. I specialize in transforming raw data into meaningful insights and actionable intelligence using modern analytical strategies, statistical modeling, and algorithmic design.
I work extensively in the GenAI ecosystem, including RAG-based systems, vector databases, LLM-powered reasoning pipelines, voice agents, TTS engines, and retrieval-based knowledge systems. I build agentic architectures using LLM tools, structured prompting, multi-step reasoning, and external tool calling. My work spans across voice-enabled applications, automation workflows, conversational systems, and intelligent assistants.
I have strong hands-on experience developing AI automation workflows using n8n, Make.com, and Zapier, integrating APIs, message parsers, CRM systems, databases, and document pipelines. I create systems that automate data ingestion, classification, extraction, mapping, OCR processing, and AI-driven decision-making.
With strong command of Python, backend engineering, ML lifecycle management, cloud deployment, and model optimization, I ensure every AI solution I deliver is production-ready, scalable, and aligned with real business requirements. I design cloud-based and on-premise architectures combining LLMs, embeddings, vector search, and enterprise data orchestration.
My goal is to build high-impact AI systems leveraging GenAI, automation, machine learning, computer vision, retrieval pipelines, TTS/ASR, and intelligent agents. I focus on creating solutions that can think, speak, act, and automate in real time.
Technical Skills
Machine Learning & Deep Learning
Regression, SVM, Random Forest, XGBoost
CNNs, RNNs, LSTMs, Transformers
YOLO, Faster RCNN, Mask RCNN, SSD, EfficientDet
Object detection, segmentation, classification, OCR
Hyperparameter tuning, model evaluation, cross-validation
Generative AI & LLM Ecosystem
OpenAI GPT models, Google Gemini, LLaMA models, Mistral, DeepSeek, Falcon
Prompt engineering, system prompting, structured outputs
LLM agents, tool calling, function calling
Fine-tuning, supervised training, preference tuning
Retrieval-Augmented Generation (RAG)
Vector databases: Pinecone, ChromaDB, FAISS, Milvus
Embedding models: OpenAI, Gemini, InstructorXL, mxbai
Document ingestion, chunking strategies, metadata extraction
Rerankers, hybrid search, multi-hop retrieval
Voice AI, TTS, ASR, Audio Agents
Cartesia TTS, XTTS, Piper, Coqui
Whisper for ASR and transcription
Real-time voice pipelines with sub-150 ms response
Audio-based conversational agent design
Workflow Automation
n8n advanced workflows
Make.com automation and integrations
Zapier application workflows
Automated pipelines involving email, CRM, Google Workspace, Sheets, and APIs
Backend, APIs & MLOps
Python: FastAPI, Flask
Docker, CI/CD, GitHub Actions
Databases: PostgreSQL, MySQL, MongoDB
Cloud platforms: AWS, GCP, Azure
Logging, monitoring, metrics, structured events
Data Engineering & Analytics
Pandas, NumPy, Polars
ETL pipelines, data cleaning, transformations
Statistical analysis, feature selection
BI dashboards: PowerBI, Tableau, Streamlit
Tools, Frameworks & Libraries
LangChain, LlamaIndex
LangGraph for agent workflows
PyTorch, TensorFlow, Keras
Scikit-learn, OpenCV
WhisperX, Unsloth, AutoTrain
Steps for completing your project
After purchasing the project, send requirements so Ishant can start the project.
Delivery time starts when Ishant receives requirements from you.
Ishant works on your project following the steps below.
Revisions may occur after the delivery date.
Proper Details
Details about the projecct and all the requiremnets with the problem statement