Asim Husain

RESUME

Asim Husain

SWE & AI | ML

Open to Work

Software Engineer and B.Tech CS student specializing in AI/ML. Builds scalable, data-driven systems with Python, SQL, and modern engineering practices. Seeking SWE or AI-focused roles.

Live Projects

Certifications

Skill Match

AI Score

Skills

Live

Python
SQL
Flask
REST APIs
Web Services
Data Analytics
HTML CSS
MySQL
System Design
JavaScript
AI Integration
Automation Testing
Azure DevOps
Machine Learning
Deep Learning
Prompt Engineering
Automation Agentic
Vercel
Azure
Git
Github
Github Copilot
CI/CD

0 Total

GitHub Contributions

Yearly

2022

2023

268

2024

763

2025

115

2026

Core Skill Confidence

Software Engineering92%

AI / ML Engineering90%

Cloud & Deployment88%

Data & Analytics86%

Problem Solving85%

Credentials

AI ML Engineering (Coursera)Verify
GitHub Foundations (Microsoft)Verify
GitHub Copilot (Microsoft)Verify
SQL Basics (HackerRank)Verify
Python (Codedex)Verify
Big Data (NPTEL)Verify
ML Training (Internshala)Verify

Asim Husain

I'm a |

Asim Husain

AI/ML Engineer

About Me

I'm an AI/ML Engineer, currently pursuing a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence, Machine Learning, and Deep Learning. Skilled in Python, SQL, HTML, and CSS, with a solid understanding of systems and modern software development practices, along with a foundational knowledge of JavaScript. I thrive at the intersection of artificial intelligence, machine learning, cloud computing, and modern software engineering. I specialize in building end-to-end ML pipelines, scalable backend systems, and cloud-integrated applications that blend intelligence with performance. My technical stack includes Docker, Azure, CI/CD pipelines, data pipelines, and workflow automation tools, enabling me to design and deploy solutions that learn, adapt, and scale efficiently. Passionate about clean engineering, data-driven problem solving, and continuous innovation, I actively explore emerging technologies in Generative AI, cloud-native architectures, and autonomous ML workflows with the goal of building systems that not only work, but also think, evolve, and create impact.

Achievements

Microsoft AI ML Engineering (Coursera)

Developed practical expertise in AI and machine learning systems, covering core ML algorithms, model training, feature engineering, and evaluation techniques. Built intelligent AI solutions using Microsoft Azure services, applied advanced ML methods, and completed a capstone project implementing the end-to-end machine learning lifecycle from data processing to deployment.
GitHub Foundations (Microsoft)

Mastered enterprise-level Git and GitHub workflows, repository initialization, branching strategies (Git Flow), pull request reviews, and CI/CD setup via GitHub Actions. Implemented version control best practices and collaborative issue tracking for scalable software development.
Github Copilot (Microsoft)

Gained expertise in leveraging AI-powered code completion to enhance productivity, code quality, and collaboration. Mastered Copilot's integration within IDEs, prompt engineering for accurate code suggestions, secure coding practices, and workflow optimization through GitHub Copilot for Individuals and Business.
Big Data Computing (NPTEL)

Studied distributed data processing with Hadoop and Apache Spark (RDDs, DataFrames). Gained expertise in partitioning, shuffling, fault tolerance, and optimization techniques for scalable big data analytics and cluster-based computation.
SQL Basics (HackerRank)

Built and optimized relational queries using subqueries, window functions, and complex JOINs. Enhanced query performance with indexing and execution plan analysis to ensure scalable and efficient database operations.
Python (Codedex)

Built strong proficiency in Python programming, including core syntax, data structures, functions, and object-oriented programming concepts. Applied Python for problem solving, automation, and data handling while implementing best coding practices, debugging techniques, and writing clean, efficient, and scalable code.
Junior Data Analyst (CETPA)

Executed data wrangling, transformation, and visualization using Excel (PivotTables, XLOOKUP) and SQL (JOIN, GROUP BY, AGGREGATE). Designed analytical dashboards and optimized data pipelines to deliver insight-driven reporting and performance monitoring.
Machine Learning Trainee (Internshala)

Implemented end-to-end ML pipelines using Scikit-learn - preprocessing, model training, and hyperparameter tuning. Applied regression and classification algorithms with metrics such as F1-Score, ROC-AUC, and cross-validation for performance optimization.
Technology Day Winner (TMU)

Engineered and deployed an innovative prototype demonstrating applied AI and data-driven problem-solving. Led requirements gathering, implementation, benchmarking, and technical presentation, earning recognition for innovation and execution excellence.
TeamEverest NGO (Volunteer)

Contributed to data-driven community initiatives through structured reporting, event coordination, and analytics using Excel and Google Sheets. Focused on measurable outreach impact, documentation clarity, and collaborative workflow.