Hire the Best Machine Learning Engineers
in the United States

Need cutting-edge AI solutions or expert machine learning guidance? You're in the right place. With a track record of innovation used by tech giants and featured in major media outlets, I'm here to elevate your data science and machine learning projects. BACKGROUND -PhD in Computer Science from the University of Maryland -Bachelors in Physics/Pre-med with domain knowledge in finance -QinetiQ Fundamental Machine Learning Fellowship and Angelo Bardasis Fellowship recipient -15+ publications at major ML venues -2 patents -Maintainer of major open-source ML libraries with 100M+ installations (used by AWS, Google, Meta, Microsoft) -Open source libraries include taking over maintaining the Arcade Learning Environment (a benchmark that led to Google's acquisition of DeepMind) and OpenAI Gym (OpenAI's first widely publicized project many years ago) -Led ML teams in intelligence and semiconductor sectors -Contributor to almost all major open-source ML libraries -Expertise in integrating ML tools with domain-specific requirements and real-world data -Particular specialty in reinforcement learning (I've maintained many of the most widely used open source libraries in the space, and it was the focus of my PhD and 2 of my past firms) EXPERTISE -I offer end-to-end solutions, high-level planning advice, and targeted problem-solving for uniquely difficult challenges in: Machine Learning & AI -Deep Learning -Natural Language Processing (NLP) -Computer Vision (CNNs, YOLO) -Reinforcement Learning -Generative AI (GANs, Stable Diffusion) -Large Language Models (GPT, BERT) -Time Series Analysis Data Science & Analytics -Statistical Analysis -Time Series Forecasting -Predictive Modeling -Recommendation Systems Big Data & Databases -Distributed Computing -NoSQL Databases (MongoDB, Cassandra, MySQL) -Graph Databases (Neo4j) Software Engineering -Microservices Architecture -RESTful API Design -Version Control (Git) -CI/CD Pipelines Cloud & DevOps -Containerization (Docker) -Cloud Platforms (AWS, GCP, Azure) TECHNICAL STACK Programming: Python, C/C++, Java, R, MATLAB ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers Data Processing: Scipy, Pandas Visualization: Matplotlib, Seaborn, Plotly, ggplot Documentation: LaTeX, Markdown Databases: MongoDB, Cassandra, MySQL, Neo4j Given my unique blend of academic research, industry experience, and open-source contributions, I bring a high level of expertise to your data science and machine learning projects. Whether you need cutting-edge AI solutions, data-driven insights, or expert guidance on complex ML challenges, I'm equipped to deliver results that drive your business forward.

I build AI systems that make it to production: machine learning and NLP pipelines, LLM and RAG applications, AI agents, and voice AI used by real customers every day. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐨𝐫𝐤 - Voice AI agent platform at a healthcare technology company - Clinical document extraction system on vLLM hitting 99.99%+ accuracy on messy, unstructured files - Internal agentic coding assistant that cut time spent on repetitive engineering workflows by 80% - LiveQ, an AI desktop assistant I founded (Electron and Next.js on LiveKit): designed the full agent architecture and ran 50+ customer interviews in the first month 𝐌𝐋 𝐚𝐧𝐝 𝐍𝐋𝐏 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 My experience goes deeper than the LLM wave. At Penn State's NLP lab I built a conversational agent deployed to Alexa devices reaching a 50M+ user base, and worked hands-on with transformer models (BERT, T5, XLNet), NER pipelines, OCR, and topic modeling. That history means I know when your problem needs a fine-tuned classifier instead of a frontier model, and when it doesn't need ML at all. 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐇𝐞𝐥𝐩 𝐖𝐢𝐭𝐡 - LLM applications and RAG pipelines with strict accuracy targets - AI agents and tool integrations (function calling, MCP) - Voice AI and real-time interaction systems - NLP and document AI: extraction, classification, intelligent OCR - End-to-end automation, from backend services to a polished UI 𝐒𝐭𝐚𝐜𝐤 𝐚𝐧𝐝 𝐂𝐫𝐞𝐝𝐞𝐧𝐭𝐢𝐚𝐥𝐬 Python, TypeScript, LangChain, LiveKit, Ray Serve, vLLM, Next.js, AWS and GCP. MS in Computer Science (AI) from USC. 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤 I move fast, take ownership, and communicate clearly. Send me a message with what you're building, and I'll tell you honestly whether I'm the right fit and how I'd approach it. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, NLP, Natural Language Processing, Generative AI, LLM, Large Language Models, ChatGPT, OpenAI, Claude, Llama, RAG, Retrieval Augmented Generation, Vector Database, Embeddings, AI Agent, Agentic AI, Multi-Agent Systems, MCP, Model Context Protocol, Function Calling, Voice AI, Conversational AI, Chatbot, Speech-to-Text, Text-to-Speech, LiveKit, vLLM, LangChain, Ray Serve, Prompt Engineering, LLM Deployment, Document AI, Intelligent Document Processing, Data Extraction, OCR, Named Entity Recognition, BERT, Transformers, AI Automation, Workflow Automation, Python, TypeScript, Next.js, React, Electron, AWS, GCP, Healthcare AI, Full-Stack Development, Real-Time Systems

Machine-Learning Engineer applying deep neural networks to reinforcement learning, NLP computer vision, and other interesting problems! In the midst of publishing a paper on predicting the outcome of sporting events. Background in Cryptography and full-stack development experience as well. When I'm not working catch me at USCF tournaments, playing basketball or working on my research!

I help businesses, healthcare teams, researchers, and startups turn complex AI ideas into reliable software products. I am a research-driven AI Solutions Engineer and Python backend developer with a Master’s in Neuroscience and 6 years of experience building AI-powered applications, machine learning workflows, and research-focused software systems. My work sits at the intersection of artificial intelligence, backend engineering, data processing, and scientific problem-solving. My strongest value is not just writing code. I help define the right technical approach, design the system architecture, build the backend, integrate AI models, and deliver software that is practical, maintainable, and ready for real users. My core expertise includes: - Python backend development - Generative AI application development - Machine learning and data workflows - Scikit-learn, TensorFlow, Keras, NumPy, Pandas, SciPy - Speech-to-text systems using Whisper AI - SQL and SQLite database design - GPU-accelerated AI inference - Research automation and scientific computing - Healthcare AI and clinical workflow tools - Desktop AI applications and internal business tools One of my key projects is VoxChart, a clinical speech-to-text dictation application built with Whisper AI, Python, PyAudio, SQLite, tkinter, and PyInstaller. It supports offline AI transcription, medical terminology correction, autosave, Epic EHR export support, crash reporting, and a Windows installer pipeline. This project reflects the kind of work I do best: turning advanced AI capability into a clean, usable tool that solves a real workflow problem. I also have hands-on experience in computational neuroscience, reinforcement learning, and scientific modeling, including a spinal cord arm control model using Python, TensorFlow/Keras, OpenSim, and DDPG. This gives me a stronger analytical foundation than a typical software developer and allows me to work confidently on complex, data-heavy, research-driven, or AI-first projects. I can help you with: - Building AI-powered SaaS tools, MVPs, and internal platforms - Developing Python backends for AI applications - Creating custom ML models and data pipelines - Integrating OpenAI, Whisper, or other AI systems into your workflow - Automating manual business or research processes - Designing databases, APIs, and AI-assisted backend logic - Building healthcare, clinical, or research technology solutions Clients should work with me when they need someone who can think deeply, communicate clearly, and build carefully. I care about clean architecture, accurate implementation, strong documentation, and software that remains useful after delivery. If you need an AI solution that is more than a prototype, I can help you design it, build it, and make it dependable.

I build secure, production-ready AI agents and enterprise RAG platforms that connect organizational data, APIs, and business workflows. Across 140+ commercial and federal engagements, I have improved model accuracy by 27%, reduced Generative AI delivery time by 46%, cut data-processing time by 26%, and reduced cloud-infrastructure provisioning time by 64%. I am a Senior Generative AI Engineer and Enterprise AI Architect with 20+ years of experience in AI, data engineering, cloud, security, and integration. I help organizations move beyond chatbot demonstrations to reliable systems that perform useful work, operate within defined permissions, and can be evaluated, monitored, and governed in production. WHAT I CAN ARCHITECT AND BUILD FOR YOU • Production AI agents with tool calling, workflow state, retries, exception handling, human approval, audit trails, and secure API integration • Enterprise Retrieval-Augmented Generation (RAG) with ingestion, metadata, chunking, embeddings, vector/hybrid search, reranking, citations, permissions, and evaluation • LLM applications using OpenAI, GPT, Claude, Amazon Bedrock, Python, FastAPI, PostgreSQL, OpenSearch, Pinecone, Weaviate, and enterprise APIs • AI workflow automation connecting email, documents, databases, CRMs, financial systems, and knowledge repositories • Databricks and AWS AI platforms using MLflow, Unity Catalog, Delta Lake, Spark, Bedrock, SageMaker, model serving, governance, and MLOps • AI architecture reviews, technical roadmaps, POCs, production remediation, cost optimization, predictive modeling, and fractional AI leadership SELECTED RESULTS • Architected a governed Databricks environment supporting 500+ users with Unity Catalog, Delta Lake, MLflow, monitoring, automated deployment, and LLM capabilities • Improved machine-learning and statistical-model accuracy by 27% • Reduced Generative AI time to market by 46% • Reduced enterprise data-processing time by 26% using Python, Spark, TensorFlow, and cloud architecture • Reduced infrastructure provisioning time by 64% through Infrastructure as Code and deployment automation • Reduced software deployment time by 45% through DevSecOps and CI/CD PRODUCTION AI, NOT JUST PROTOTYPES My work begins with the business process, data, risks, and measurable acceptance criteria—not a fashionable framework. I determine what belongs in deterministic logic, what benefits from AI, where approval is required, and how failures will be resolved. For agents, I design bounded tools, structured outputs, permissions, approval gates, idempotent actions, exception handling, and traces. For RAG, I evaluate retrieval, groundedness, citations, latency, and cost. For ML, I document data preparation, assumptions, validation, imbalance, overfitting, drift, and monitoring. HEALTHCARE IT, SECURITY AND GOVERNANCE I design secure healthcare data and AI systems using IAM, RBAC, encryption, secrets, API security, audit logging, DevSecOps, and incident response. My regulated healthcare work includes PII/PHI, AWS GovCloud/EKS, NIST 800-53, FedRAMP Moderate, System Security Plans, HIPAA Security, HIPAA Awareness for Business Associates, and work under a HIPAA Business Associate Agreements. CORE TECHNOLOGIES Python, FastAPI, pandas, PySpark, SQL, PostgreSQL, OpenAI, Claude, Bedrock, SageMaker, LangChain, LlamaIndex, MLflow, Databricks, TensorFlow, PyTorch, Pinecone, Weaviate, OpenSearch, Redis, Docker, Kubernetes, Terraform, AWS, Azure, APIs, ETL/ELT, MLOps, and LLMOps. CREDENTIALS AND RESEARCH RIGOR AWS Certified Machine Learning Engineer – Associate AWS Certified AI Practitioner CompTIA Security+ certified Fortinet Certified Security Engineer Databricks University Alliance Faculty member As a Doctorate practitioner in Information Systems Technology (DM/IST) with published data-science research, I bring testable hypotheses, explicit assumptions, controlled validation, reproducible analysis, and transparent limitations. My dissertation used quantitative analysis and structural equation modeling. I have also taught AI, machine learning, and cloud computing, strengthening my ability to explain decisions to technical and executive stakeholders. HOW I WORK Expect direct senior involvement, clear communication, pragmatic architecture, maintainable code, measurable acceptance criteria, and honest discussion of tradeoffs. I can lead an initiative, collaborate with your team, rescue an underperforming system, or deliver a controlled POC before a larger investment. If you need an experienced AI architect who can translate a business requirement into a secure, evaluated, production-ready system—from executive strategy through implementation—let's discuss what you are building, its constraints, and the outcome it must produce. I look forward to learning about your project and discussing how I can help.

⭐️⭐️⭐️⭐️⭐️ “Ishaq is a Professional Data Analyst and Research Consultant.” Python: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, Plotly| R / RStudio, Rshiny | SPSS | STATA | EViews | Power BI | Tableau| MS Excel | Cloud Platforms: Microsoft Azure Machine Learning Studio, AWS SageMaker, and Google Cloud AI tools. 📊 Kindly Contact Me Before Placing Your Order! I am a Data Analyst, Machine Learning Engineer, and Statistician (PhD) with a strong background in transforming complex data into actionable insights and intelligent solutions. Over the years, I’ve worked across research, analytics, and AI-driven problem solving, helping businesses and researchers make confident, data-backed decisions. 🔹 What I Offer This gig provides comprehensive quantitative and qualitative data analysis with detailed, easy-to-understand reports using cutting-edge tools and technologies. 🔹 Areas of Expertise I specialize in: Data Analysis & Visualization: Python, Power BI, Tableau, MS Excel Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch, NLP, Deep Learning, Predictive Modeling, and Time Series Forecasting Statistical Modeling: Hypothesis Testing, Regression, ANOVA, Bayesian Inference, and Experimental Design Data Engineering: SQL, ETL Pipelines, Data Cleaning, Preprocessing, and Automation Cloud-Based Analytics: Deploying ML models and data pipelines on Azure and AWS Research & Academic Writing: Statistical consulting, reproducible research, and technical documentation. I also conduct specialized analyses in: Biostatistics, Bioinformatics, and Biometrics Econometrics and Economics Environmental and Genetic Statistics Mathematical and Applied Statistics Time Series and Forecasting Hypothesis Testing (Chi-square, t-test, z-test, etc.). 🔹 Why Work With Me With PhD-level expertise in data science and statistics, I combine academic depth with industry-grade analytical skills. Every project is approached with precision, reproducibility, and practical insight, ensuring your data tells a story that truly matters. 🔹 What You Can Expect ✅ Accurate and reproducible analysis ✅ Clear interpretation and professional visualization of results ✅ Fast delivery and transparent communication ✅ 100% client satisfaction Let’s bring your data to life through intelligent analysis and modern AI solutions. Kindly contact me before placing your order to discuss your project requirements in detail.