Saksham

AI/ML Engineer

Delhi, India 2+ yrs exp 86 · Excellent

About

AI/ML Engineer with experience building end-to-end machine learning solutions including data preprocessing, feature engineering, model training, and deployment to production. Hands-on with Python, TensorFlow, PyTorch, scikit-learn, and transformer-based NLP on Microsoft Azure and AWS. Microsoft Certified Azure AI Engineer (AI-102) with projects in resume intelligence, molecular drug discovery, and deception detection using Deep Learning and NLP.

Skills & Expertise (55)

Python Advanced

9.0/10

Years Exp

Machine Learning Advanced

8.8/10

Years Exp

Deep Learning Advanced

8.5/10

Years Exp

Azure Advanced

8.0/10

Years Exp

TensorFlow Advanced

8.0/10

Years Exp

Keras Advanced

8.0/10

Years Exp

PyTorch Advanced

8.0/10

Years Exp

Kubernetes Advanced

8.0/10

Years Exp

Docker Advanced

8.0/10

Years Exp

NLP Advanced

8.0/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

Azure SQL Tableau Power BI Excel Azure Container Registry Azure container apps Redis Azure OpenAI AWS (S3 Matplotlib Seaborn MySql Postgresql Azure DevOps Git GitHub VS Code Jupyter Problem-solving Team Collaboration Agile methodologies Technical Communication NumPy C/C++ Java OOP scikit-learn BERT GPT LSTM Transformers Computer Vision Neural Networks AWS (EC2 Statistical Analysis Cross-Validation Hyperparameter Tuning Model Deployment REST APIs FastAPI Microservices Monitoring Logging Containerization

Work Experience

AI/ML Intern

Nextgen Innovations Lab

Jul 2025 - Jan 2026

Developed an AI-powered resume analysis system using Azure OpenAI (GPT-4o-mini) for semantic skill matching, achieving 92% accuracy in job-to-resume compatibility scoring with multi-pass validation across 135+ technical skills. Designed and deployed cloud-native microservices architecture on Azure Container Apps with auto-scaling, integrating Azure SQL Database for data persistence and Redis caching. Built production-ready MLOps workflows with Docker containerization, Azure Container Registry, and scale-to-zero infrastructure. Deployed REST APIs with comprehensive logging, monitoring, and error tracking to ensure reliable model serving in a production environment.

Project Intern

IBM

Jun 2024 - Jul 2024

Developed deep learning models for molecular property prediction using neural networks, improving drug discovery screening efficiency by 30% across 100,000+ molecular structures. Implemented end-to-end ML pipelines for data preprocessing, feature engineering, model training, and evaluation on molecular datasets, increasing prediction accuracy by 15% through architecture tuning and regularization. Performed hyperparameter tuning and architecture optimization using grid search and cross-validation techniques to maximize model performance. Created an experiment tracking system for systematic model comparison and reproducibility with structured documentation and metrics logging.

Social Media Manager

Vultus the Face Shifters

Oct 2021 - Jan 2024

Led data-driven social media strategy and content creation, increasing overall engagement by 40% and growing the follower base by 35% through analytics-based optimization. Managed cross-functional content teams and implemented A/B testing for content performance analysis and optimization.