Hasi Iqbal
@hasiiqbal
Senior machine learning engineer specializing in LLMs, RAG, and MLOps.
What I'm looking for
I’m an AI/ML engineer with 8+ years of experience designing, developing, and deploying large-scale machine learning, NLP, and LLM-powered systems for enterprise and high-traffic platforms. I focus on transformers, RAG workflows, recommendation engines, vector databases, and semantic search—delivered with strong MLOps discipline.
At Run.ai (03/2022–Present), I lead end-to-end MLOps for enterprise LLM-powered applications, including an enterprise NLP platform for automated contract analysis using transformers, LLMs, and RAG. I architected low-latency, multi-region inference with Kubernetes and Triton patterns, while establishing model governance, CI/CD, experiment tracking (MLflow, Weights & Biases), and automated validation and versioning.
Previously at BlueLabel Labs (06/2019–02/2022), I built personalization and recommendation systems for high-traffic e-commerce, processing 5M+ records and improving model training efficiency by 30%. I also led NLP pipelines that improved accuracy by 25–30%, deployed real-time solutions supporting 100,000+ transactions/day using FastAPI/Flask, and drove business impact through A/B testing, monitoring, and optimization.
Earlier at Istream Solutions (02/2018–05/2019), I developed NLP-driven sentiment analysis, topic classification, and automated tagging with 30% classification accuracy improvement. I built production REST API deployments, handled 1.5M feedback entries/month with Spark-based pipelines, and reduced unstructured text inference latency by 45%, while mentoring junior engineers to accelerate delivery.
Experience
Work history, roles, and key accomplishments
Senior Machine Learning Engineer
Run.ai
Mar 2022 - Present (4 years 2 months)
Led the design, deployment, and optimization of large-scale AI/ML and LLM-powered applications, including an enterprise NLP platform for automated contract analysis using transformers, LLMs, and RAG. Architected low-latency, multi-region inference on Kubernetes/Triton and implemented MLOps for governance, CI/CD, experiment tracking, validation, model versioning, and drift/observability.
AI/ML Engineer
BlueLabel Labs
Jun 2019 - Feb 2022 (2 years 8 months)
Developed large-scale personalization and recommendation systems for high-traffic e-commerce, training on 5M+ records and improving model training efficiency by 30%. Built NLP pipelines and prediction/recommendation models that increased user engagement by 20% and improved operational efficiency by 15%, deploying real-time services on AWS/GCP/Azure for 100K+ transactions/day.
Machine Learning Engineer
Istream Solutions
Feb 2018 - May 2019 (1 year 3 months)
Built NLP-driven analytics for feedback analysis, sentiment tracking, and automated text categorization, improving classification accuracy by 30% and reducing model development time by 40%. Designed data pipelines for 1.5M+ feedback entries per month and deployed low-latency REST APIs on AWS/GCP/Azure with 99.9% uptime, reducing inference latency by 45% and driving engagement (+15%) and revenue up
Education
Degrees, certifications, and relevant coursework
Bachelor’s Degree in Computer Science
Bachelor’s Degree, Computer Science
Earned a Bachelor’s degree in Computer Science.
Tech stack
Software and tools used professionally
Apache Spark
GitHub
GitLab
Kubernetes
GitLab CI
NumPy
Pandas
PySpark
dbt
MySQL
PostgreSQL
Gmail
Django
Databricks
OpenCV
Terraform
JavaScript
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Streamlit
DeepSpeed
NLTK
Kafka
FastAPI
asyncio
Grafana
Prometheus
Linux
Datadog
Elasticsearch
Milvus
Ansible
Serverless
Airflow
s3-lambda
CUDA
SQL
XGBoost
Hugging Face
LightGBM
CatBoost
Qdrant
LangChain
Weaviate
ChromaDB
Weights & Biases
Pinecone
Tecton
Feast
Hopsworks
JAX
Run:AI
ONNX Runtime
Bash
Scale AI
Faiss
Dynamic
Increase
Seaborn
Availability
Location
Authorized to work in
Job categories
Skills
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