Asim Husain

RESUME

Asim Husain · Software Engineer & AI/ML Engineer

I’m a Software Engineer and B.Tech Computer Science student specializing in AI and ML, with hands-on experience building scalable, data-driven software systems. Proficient in Python, SQL, and machine learning, with strong foundations in backend development, system design, and modern software engineering practices. Seeking software engineering or AI-focused roles to deliver reliable, high-performance solutions.

Live Projects

Certifications

Tools

Microsoft Azure Git Github Github Copilot Replit Gemini Slack Gitlab Docker Vs Code Jupyter Notebook Kaggle Linux

CureHelp+

AI-assisted health companion focused on symptom-aware guidance and user-centric care access.

IntervBot

Interview prep system with AI-generated questions and structured feedback for measurable improvement.

PredicTrade

Forecasting application that converts historical market behavior into clear decision support insights.

Engineering Ownership

Takes products from idea to deployment with clean implementation, UX polish, and stable delivery cadence.

AI in Production Mindset

Focuses on practical ML outcomes with observability, reliability, and scalable cloud-first architecture.

Communication & Clarity

Explains technical complexity clearly, enabling faster decisions for stakeholders and engineering teams.

Core Skill Confidence

Software Engineering

92%

AI / ML Engineering

90%

Cloud & Deployment

88%

Data & Analytics

86%

Python SQL Flask REST APIs Web Services Data Analytics HTML CSS MySQL System Design JavaScript (Basics) AI Integration Automation Testing

Certifications

GitHub Foundations (Microsoft) Check
GitHub Copilot (Microsoft) Check
SQL Basics (HackerRank) Check
Python (Codedex) Check
Big Data (NPTEL) Check
Machine Learning Training (Internshala) Check
AWS ML Engineer Associate Check

View Resume

Live Availability

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

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.
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.
Azure Cognitive Services (Coursera)

Developed intelligent applications leveraging Azure AI APIs for Vision, Language, and Search. Implemented OCR, sentiment analysis, entity recognition, and translation models with secured Azure authentication and responsible AI integration.
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.
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.
Data Analysis Using MS Excel (Coursera)

Performed comprehensive data analysis using advanced Excel functions. Power Query, PivotTables, and What-If Analysis. Built automated KPI dashboards to visualize trends, patterns, and business metrics with data-driven accuracy.
Data Analytics Trainee (CETPA)

Conducted real-world data analytics using Python (NumPy, Pandas, Matplotlib, Seaborn). Focused on data wrangling, feature engineering, and visualization to generate actionable insights and reproducible analytical reports.
Fundamentals of ML Engineering (LinkedIn)

Gained practical understanding of MLOps fundamentals, dataset versioning, experiment tracking, model packaging, CI/CD pipelines, and monitoring for production-level ML systems ensuring reproducibility and governance.
ML Associate Engineer (LinkedIn)

Strengthened model evaluation and deployment workflows, implementing precision/recall optimization, bias detection, drift monitoring, and REST-based inference systems with robust logging and observability frameworks.
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.
Google Analytics (Skillshop)

Configured and optimized GA4 properties, events, and conversion tracking. Implemented UTM tagging, funnel visualization, and audience segmentation for data-driven campaign performance measurement and optimization.
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.