AI & Machine Learning Engineer

Building Intelligent
Systems

that actually work.

Turning complex data into production-ready ML models and scalable AI solutions. From research to deployment — I bridge the gap between cutting-edge algorithms and real-world impact.

Scikit-Learn
NumPy
Pandas
PyTorch
TensorFlow
HuggingFace
Python
MLflow
Docker
Kubernetes
AWS
LangChain
FastAPI
Scikit-Learn
NumPy
Pandas
PyTorch
TensorFlow
HuggingFace
Python
MLflow
Docker
Kubernetes
AWS
LangChain
FastAPI

Prashant Kumar

I'm an AI and Machine Learning Engineer with a passion for building systems that learn, adapt, and deliver tangible value. My work spans the full ML lifecycle — from exploratory data analysis and feature engineering to model training, evaluation, and production deployment.

I specialize in deep learning, NLP, and computer vision, and I love the challenge of taking a research idea and turning it into a robust, scalable system. If you need someone who can own a project end-to-end — this is for you.

Deep Learning
NLP & LLMs
Computer Vision
MLOps & Deployment
Data Engineering
Reinforcement Learning
Model Optimization
Cloud (AWS / GCP)
Work with me →

Career

Experience

2022 — Present
Senior ML Engineer
Company Name · Full-time

Led development of production-scale recommendation systems serving millions of users. Reduced model inference latency by 40% through architecture optimization and quantization. Mentored a team of 3 junior engineers.

PyTorch Kubernetes AWS SageMaker MLflow
2020 — 2022
Machine Learning Engineer
Company Name · Full-time

Built NLP pipelines for automated document classification and information extraction. Improved F1 score by 18% over the baseline through custom fine-tuning of transformer models. Shipped models to production via REST APIs.

HuggingFace FastAPI Docker PostgreSQL
2019 — 2020
Data Scientist
Company Name · Full-time

Developed and deployed predictive models for churn and customer lifetime value. Created dashboards and automated reporting pipelines that saved 10 hrs/week for the analytics team.

Scikit-Learn Pandas Tableau XGBoost
2017 — 2019
M.Tech / M.S. — AI & ML
University Name · Education

Thesis on graph neural networks for molecular property prediction. Published one paper at a top-tier ML venue. GPA: 9.2 / 10.

Research Graph Neural Networks TensorFlow

Top Projects

Full-Stack | Machine Learning - Forecasting

AQI Smart Health Advisor

Monitors real-time air quality across 10,000+ cities with AI-powered health recommendations. It explains pollution levels and helps users make informed decisions about outdoor activities and health protection.

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Full-Stack | Data Analysis | Machine Learning - Forecasting & Churns

Real-Time Object Detection System

Business Inspector is an AI-powered platform that transforms sales and customer data into actionable insights. It helps businesses identify high-value customers, predict revenue, reduce churn, and make data-driven decisions through interactive dashboards.

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"An exceptional engineer who consistently delivers production-grade ML systems on time and with remarkable clarity of thought."
— Your Colleague / Manager, Company Name

Credentials

Resume Highlights

Education

M.Tech / M.S. in AI & Machine Learning
2017–2019
University Name
Thesis: Graph Neural Networks for Molecular Property Prediction. GPA 9.2/10. Published at top ML venue.
B.Tech in Computer Science
2013–2017
University Name
Graduated with distinction. Specialization in algorithms and data structures.

Certifications

AWS Certified ML Specialty
2023
Amazon Web Services
Deep Learning Specialization
2021
Coursera · Andrew Ng
MLOps Specialization
2022
Coursera · DeepLearning.AI

Core Competencies

Machine Learning
Supervised, unsupervised, self-supervised learning. Scikit-Learn, XGBoost, LightGBM, Optuna hyperparameter tuning.
Deep Learning & LLMs
PyTorch, TensorFlow, HuggingFace Transformers. Fine-tuning, RLHF, RAG architectures, LoRA / QLoRA.
MLOps & Infrastructure
MLflow, Kubeflow, SageMaker, Docker, Kubernetes, CI/CD for ML pipelines, feature stores (Feast).
Data Engineering
Spark, Airflow, dbt, SQL/NoSQL, Kafka. Experience building end-to-end data pipelines at petabyte scale.
Publications & Open Source
1 peer-reviewed paper · GitHub: X open-source repos with Y+ stars · Kaggle: Competition medals.
Download Full CV →

Get in Touch

Let's Build Something Meaningful

Whether you're looking to hire, collaborate on research, or need an AI consultation — I'd love to connect.

Say Hello → LinkedIn