Senior AI/ML Engineer & Database Specialist | Technical Lead | Passionate about Scalable AI Solutions

I’m a highly skilled AI/ML Engineer with5+ years of experience in designing, deploying, and optimizing machine learning applications. My expertise spansETL workflows, feature engineering, NLP, predictive analytics, cloud platforms (AWS, GCP), and leveragingDocker, Kubernetes, and MLOps to deliver scalable solutions. I thrive on leading cross-functional teams, solving complex problems, and driving business impact through innovative AI technologies.

Rivon.ai | Bahawalpur, Pakistan | Sep 2024 – Present

• Led a team of 8 engineers across three major AI/ML projects, ensuring timely delivery and adherence to best practices.
• Developed anAI-Driven Startup Advisor usingRAG, LangChain, and OpenAI, reducing market research time by50% and empowering1.5K+ founders to optimize growth strategies.
• Built anAI-driven interview platform usingOpenAI and FastAPI, achieving96.8% API uptime, integratingSTT/TTS pipelines (35% latency reduction), and driving4.7/5 user satisfaction.
• Designed adynamic data pipeline orchestration tool withgRPC, boosting data transfer speeds by40%, and deployed multiple ML models onAWS SageMaker.

Vacon.ai | Lahore, Pakistan | June 2022 – Sep 2024

• Led a team of 3 engineers to develop ascalable SaaS debt-collection platform, increasing revenue by1200%.
• Streamlined data ingestion and processing by50% via asynchronous microservices usingSQLAlchemy, Celery, and Redis.
• Architected end-to-endETL pipelines withPrefect, reducing manual intervention by70%, and integrated validations withusaddress andTwilio for automated data cleaning.
• Automated credit underwriting withAWS Textract, PDFMiner, PyPDF2, delivering AI predictions for3 large banks in under 2 months.
• Built aData Processing Pipeline usingApache Spark, replacing a legacy mainframe and improving efficiency by70%.

Blink Co Technologies Ltd. | Lahore, Pakistan | Dec 2020 – June 2022

• DevelopedAI/NLP solutions, including a conversational AI assistant withSpaCy, CRF, BERT, served viaFlask on AWS EC2.
• Trained and deployedDeep Learning models (DenseNN, LSTM) for text classification usingPyTorch onAWS SageMaker.
• Built aKnowledge Extraction pipeline for100k+ documents usingBeautifulSoup, NER, and Topic Modeling (Gensim, TextRazor).
• Designed aPredictive Analytics PoC for oil well failures usingMLE, MAP, and EM Algorithm withNumPy, SciPy, Scikit-learn.

• Engineered anXGBoost model to predict cirrhosis outcomes with93.8% accuracy and0.17 log loss.

• Built aRandom Forest classifier to auto-categorize bank transactions with90.5% precision and95.6% ROC-AUC.

• Developed abrand-alignment solution usingadvanced text normalization, named entity recognition, fuzzy matching, and clustering.

• AI-Driven Survival Prediction for Liver Patients: XGBoost model with93.8% accuracy and0.17 log loss.
• AI for Smarter Personal Finance Tracking: Random Forest classifier with90.5% precision and95.6% ROC-AUC.
• Certificates:
  • Python for Data Engineering – DataCamp
  • Machine Learning Specialization – Coursera
  • Deep Learning Specialization – Coursera

I’m always open to collaborating on meaningful projects, sharing knowledge, or exploring new opportunities. Feel free to reach out!

📧 Email:ehtisham.selfwork@gmail.com
📞 Phone: +92-3054661042

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