You will get AI Call Summarization & Action Items Extraction | Sales & Support
Project details
Transform long calls into clear summaries and actionable steps instantly. Perfect for call centers and sales teams that need accurate meeting records without manual note-taking.
AI Algorithms
Autoencoder, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AIOps, Automatic Speech Recognition, Machine Translation, Natural Language Generation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Speech Synthesis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-J, WhisperWhat's included
| Service Tiers |
Starter
$450
|
Standard
$800
|
Advanced
$1,300
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | - | |
Model Tuning | |||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$120 - $300
Additional Revision
+$100
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Muhammad U.
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Muhammad U.
Aug 6, 2024
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Excellent work on Neural Network and Delivery would love to work with Ibrahim again
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Muhammad U.
May 20, 2024
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About Ibrahim
Senior ML Engineer | Production AI Systems | RAG, LLM, MLOps
100%
Job Success
Lahore, Pakistan - 8:21 am local time
I help organizations move from AI strategy to deployed, enterprise-ready ML systems — scalable, reliable, and built for measurable impact.
One of my recent clients highlighted:
⭐⭐⭐⭐⭐"Probably the best in domain knowledge. Also, humble enough to keep satisfying the impromptu demands of mine. Overall, a great developer and more of a great person. Thanks a lot. If I need any help in the future, I would surely take help again."
🚀Have an AI idea but unsure where to start? Message me 📩 to book a free 30-minute strategy call 📞.
🔥My Results:
🟢150+ ML models deployed.
🟢$100M+ cost savings via GenAI automation.
🟢$50M+ profit growth from AI & time-series systems.
✅✅Best Fit Clients✅✅
✓ You are serious about moving from AI planning to production deployment.
✓ You are the direct decision-maker or can approve architecture and budget.
✓ You view AI as an investment with expected returns, not an experiment.
✓ You are open to technical recommendations and best-practice architecture.
✓ You are ready to begin within 2 weeks.
❌ ❌ Bad Fit Clients ❌ ❌
✘ Lowest price is your primary decision factor.
✘ You only have a vague idea like “let’s build something with AI.”
✘ You micromanage technical decisions without domain expertise.
✘ Your business operates in gambling, adult, or other restricted/high-risk categories.
➜ I partner with organizations that are ready to operationalize AI with measurable impact — not those experimenting without execution commitment.
🔥Typical Clients
🔹Companies with defined AI/ML use cases.
🔹Teams stuck between POC and production.
🔹Founders are ready to operationalize AI.
🔹Data-rich businesses seeking measurable ROI.
🔹Enterprises needing secure, scalable AI systems.
🔥Why work with me
🔹End-to-end ownership: design → deploy → maintain.
🔹Business-aligned AI tied to KPIs.
🔹Senior architecture-level execution.
🔹Secure, scalable cloud deployments.
🔹Long-term reliability, not one-off builds.
🔥What I deliver
🟩Production-ready ML & GenAI systems.
🟩API-deployed models integrated into workflows.
🟩Scalable NLP, LLM, risk & fraud solutions.
🟩MLOps pipelines with monitoring, logging, and governance.
🟩Model performance optimization (latency, cost, scale).
🟩Post-deployment monitoring & drift detection.
🟩Continuous improvement and maintenance plans.
🟩Measurable revenue lift, efficiency gains, or automation impact.
🔥How I work
🔹Define KPIs before writing a single line of code.
🔹Structured discovery → architecture → deployment roadmap.
🔹Weekly measurable milestones.
🔹Build for scalability from day one.
🔹Deploy with monitoring and alerting built in.
🔹Provide post-deployment optimization and support.
🔹Transparent communication.
🔥Recent Wins
🟢Deployed enterprise ML services supporting 10M+ users.
🟢Increased marketing ROI by 30% through segmentation.
🟢Reduced decision latency by 20% via AI workflow integration.
🟢Saved $500K annually with production clustering models.
🟢Built NLP pipelines processing 1M+ documents weekly.
🟢Deployed sub-100ms APIs serving 1.5M+ monthly requests.
🟢Developed fraud models preventing $500K+ quarterly losses.
🔥Expertise
AI/ML: Machine Learning, Deep Learning, Predictive Modeling, Time Series, Anomaly Detection, Credit Risk, Fraud Detection
Generative AI: LLMs, GPT, OpenAI API, RAG, Prompt Engineering, Embeddings, Vector Databases
NLP: NER, Text Classification, Sentiment Analysis, Transformers
Frameworks: PyTorch, TensorFlow, scikit-learn, XGBoost
Data & Big Data: ETL, Spark, BigQuery, SQL Optimization
Cloud & MLOps: Azure ML, AWS SageMaker, GCP, REST APIs, CI/CD, Model Monitoring, Drift Detection
BI & Programming: Power BI, Tableau, Python, SQL, R, Julia, GoLang
Enterprise AI Architecture: AI Strategy, AI Transformation, Solution Architecture, Technical Leadership, Scalable AI Systems
Production AI Systems: Production ML, Model Serving, API Deployment, Microservices Architecture, Backend Integration
GenAI Applications: AI Automation, Document Intelligence, Workflow Orchestration, Internal Copilots, Knowledge Assistants
LLM Infrastructure: LangChain, LLM Evaluation, Context Engineering, Token Optimization, Secure LLM Deployment
Vector & Search Systems: Pinecone, FAISS, Vector Search, Hybrid Search, Semantic Retrieval
Model Optimization: Hyperparameter Tuning, Model Compression, Latency Optimization, Cost Optimization
Responsible AI: Model Governance, AI Compliance, Explainable AI (XAI), Bias Detection, Risk Monitoring
Data Platforms: Data Warehousing, Data Lakes, Feature Stores, Data Pipelines, Data Integration
Cloud Architecture: Azure AI, Azure Fabric, Azure Databricks, GCP AI Platform, AWS AI Services
Advanced Analytics: Forecasting Models, Causal Inference, Decision Systems, Optimization Algorithms
✅ Ready to operationalize your AI use case? Let’s define the roadmap, deploy with precision, and deliver measurable impact.
Steps for completing your project
After purchasing the project, send requirements so Ibrahim can start the project.
Delivery time starts when Ibrahim receives requirements from you.
Ibrahim works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Identify output format & integration points.
Data Setup
Prepare call recordings or live feed.