Asker Hamza
@askerhamza2
I build production-grade machine learning and generative AI systems at enterprise scale.
What I'm looking for
At Pozent Corporation, I lead end-to-end machine learning delivery, from data ingestion and feature engineering through deployment and monitoring, helping clients turn real-world problems into scalable AI systems.
Previously, at Northrop Grumman, I developed machine learning algorithms for sensing, tracking, data fusion, and signal, image, and text analysis in mission-critical environments. At Adept AI, I built generative-modeling prototypes, instruction-tuning datasets, and evaluation workflows for text and multimodal models.
I've also built RAG knowledge assistants and real-time LLM support platforms using Python, LangChain, LlamaIndex, vector databases, FastAPI, Kubernetes, cloud infrastructure, and MLOps tooling. I enjoy translating complex technical and business requirements into reliable, monitored AI services while mentoring engineers and improving ML standards.
Experience
Work history, roles, and key accomplishments
Lead Machine Learning Engineer
Pozent Corporation
Jan 2022 - Present (4 years 7 months)
Led the design and delivery of end-to-end machine learning solutions, architected ML pipelines, and established best practices for model development and deployment.
Designed and implemented machine learning models for mission-critical systems, led end-to-end algorithm development, and optimized data pipelines for large-scale sensor data.
Applied Data Scientist – Generative AI
Adept AI
Jun 2016 - Sep 2019 (3 years 3 months)
Developed generative modeling techniques for agent-style systems, built datasets for instruction tuning, and designed training workflows for text and multimodal models.
Machine Learning Engineer
Lexical Intelligence
Sep 2013 - May 2016 (2 years 8 months)
Supported development of ML models for data classification and semantic analysis, built preprocessing pipelines, and evaluated model performance.
Education
Degrees, certifications, and relevant coursework
City University of New York
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science from City University of New York.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
Vespa
Superset
Bokeh
GitHub
GitLab
Bitbucket
Kubernetes
PySpark
Dask
Hadoop
HBase
OpenCV
Redis
Terraform
Pulumi
Jira
Java
Julia
MATLAB
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Neptune
NLTK
Kafka
FastAPI
Grafana
Prometheus
Trello
gRPC
Elasticsearch
AWS Lambda
Kafka Streams
Airflow
Google BigQuery
SQL
XGBoost
Hugging Face
LightGBM
CatBoost
Qdrant
LangChain
LlamaIndex
Weights & Biases
Evidently AI
BentoML
Pinecone
Tecton
Feast
Ray
Delta Lake
Great Expectations
Haystack
ONNX Runtime
Bash
Faiss
Loops
PEFT
Lexical
ZenML
Factory
Sentence Transformers
Falcon
Seaborn
Availability
Location
Authorized to work in
Job categories
Skills
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