Ehtisham Sadiq
Senior AI/ML Engineer
Skilled AI/ML Engineer with 5+ years of experience in designing, deploying, and optimizing machine learning applications. Proficient in ETL workflows, feature engineering, NLP, predictive analytics and cloud platforms (AWS, GCP).
About Me
Transforming Ideas into Intelligent Solutions
As a passionate AI/ML Engineer with over 5 years of experience, I specialize in turning complex data challenges into scalable AI solutions. My expertise spans the entire machine learning lifecycle, from data engineering to model deployment.
- Building and optimizing machine learning models for real-world applications
- Developing robust ETL pipelines and data processing workflows
- Implementing NLP solutions and conversational AI systems
- Cloud-native ML infrastructure and MLOps practices
Happy Clients
Across Global Companies
ML Models Deployed
In Production
Lines of Code
Clean & Efficient
Success Rate
In Project Delivery
Recent Achievements
Reduced model inference time by 40% through optimization
Implemented MLOps practices reducing deployment time by 60%
Developed AI solutions saving clients $500K annually
Professional Experience
Rivon.ai
Technical Lead – AI & Database Engineering
Led a team of 8 software engineers across three major AI/ML projects, ensuring timely delivery and adherence to best practices.
Developed AI-Driven Startup Advisor using RAG, LangChain, and OpenAI, reducing market research time by 50% via automated scraping pipelines, empowering 1.5K+ founders to optimize growth strategies.
Leading AI-driven interview platform using OpenAI, and FastAPI, achieving 96.8% API uptime, integrated STT/TTS pipelines (35% latency reduction), driving 4.7/5 user satisfaction.
Built dynamic data pipeline orchestration tool at Altosphere, boosting data transfer speeds by 40% with gRPC, deployed multiple ML models on AWS Sagemaker, created an automated PDF extraction pipeline using Textract, and implemented anomaly detection for wind energy time series.
Technologies & Tools
Vacon.ai
Senior Software Engineer
Led a team of 3 engineers to develop a compliant, scalable SaaS debt-collection platform, increasing revenue by 1200%.
Streamlined data ingestion and processing by 50% via asynchronous microservices using SQLAlchemy, Celery, and Redis.
Architected and managed end-to-end ETL pipelines using Prefect, reducing manual intervention by 70%, integrating validations with usaddress and Twilio to automate data cleaning, and transformation.
Integrated ML APIs with Kickbox and Amazon SES for dynamic, agency-specific communications.
Automated credit underwriting with AWS Textract, PDFMiner, PyPDF2, delivering AI predictions for 3 large banks in under 2 months.
Blink Co Technologies Ltd.
ML Engineer
Developed AI & NLP solutions: built a conversational AI assistant with SpaCy, CRF, BERT, served via Flask on AWS EC2.
Trained/deployed Deep Learning (DenseNN, LSTM) for text classification using Pytorch on AWS SageMaker.
Built a Knowledge Extraction pipeline for 100k+ documents with BeautifulSoup, NER, and Topic Modeling (Gensim, TextRazor).
Designed a Predictive Analytics PoC for oil well failures using MLE, MAP, and EM Algorithm with NumPy, SciPy, Scikit-learn.
Zep Analytics
Data Science Intern
Implemented clustering methods (k-means, Gaussian Mixture Models) in Python for insurance price modeling.
Automated weekly reports using pywin32, openpyxl, pandas, reducing manual efforts by 60%.
Performed data preparation and feature engineering for pricing models and client churn prediction using Pandas, MongoDB, and AWS Redshift.
Technical Expertise
Transforming Ideas into Intelligent Solutions
With over 5 years of experience in AI/ML engineering, I specialize in building scalable, production-ready solutions that drive business value. My expertise spans the entire ML lifecycle, from data engineering to model deployment.
AI/ML Engineering
Expertise in developing cutting-edge AI solutions and ML models
Key Achievements
- Reduced model inference time by 40%
- Achieved 96.8% accuracy in production
- Processed 100K+ documents daily
Data Engineering
Building robust data pipelines and scalable data infrastructure
Key Achievements
- Processed 1TB+ data daily
- Reduced pipeline latency by 60%
- 99.9% data accuracy achieved
Cloud & MLOps
Deploying and scaling ML solutions in production
Key Achievements
- Maintained 99.9% uptime
- Reduced deployment time by 70%
- Automated 90% of MLOps tasks
Ready to Build Something Amazing?
Let's collaborate to transform your ideas into powerful AI solutions.
Start a ProjectMy Services
AI/ML Solutions Development
End-to-end development of custom AI and machine learning solutions tailored to your business needs.
Data Engineering & ETL
Robust data pipeline development and optimization for efficient data processing and analysis.
MLOps & Cloud Solutions
Streamlined deployment and management of ML models in production environments.
Conversational AI
Building intelligent chatbots and conversational interfaces powered by advanced NLP.
Featured Projects
Key Achievements
AI-Driven Survival Prediction for Liver Patients
Engineered an XGBoost model to predict cirrhosis outcomes with 93.8% accuracy and 0.17 log loss.
AI for Smarter Personal Finance Tracking
Built a Random Forest classifier to auto-categorize bank transactions with 90.5% precision and 95.6% ROC-AUC.
Seamlessly Unifying Brand Identities Through NLP
Built a brand-alignment solution using advanced text normalization, named entity recognition, fuzzy matching, and clustering.
Client Success Stories
Ehtisham's work on our liver disease prediction system was transformative. He implemented an XGBoost model that achieved 93.8% accuracy and 0.17 log loss, significantly outperforming our previous models. His expertise in feature engineering and model optimization helped us identify key predictors we hadn't considered before. The system now helps doctors make faster, more accurate decisions for patient care.
Key Metrics: 93.8% accuracy, 0.17 log loss
Dr. Sarah Chen
Head of AI Research, HealthcareAI Solutions
Education & Certificates
Bachelor of Science in Software Engineering
Punjab University College of Information Technology
Focused on software development, algorithms, data structures, and AI/ML fundamentals with a strong emphasis on practical application.
Continuous Learning & Skill Enhancement
Python for Data Engineering – DataCamp
Professional development in AI/ML and data engineering
Machine Learning Specialization – Coursera
Professional development in AI/ML and data engineering
Deep Learning Specialization – Coursera
Professional development in AI/ML and data engineering
Get In Touch
Tell Me About Your Project
Contact Information
Feel free to reach out! I'm always open to discussing new projects, creative ideas or opportunities to be part of your vision.
Response Time
I typically respond to inquiries within 24-48 hours.