Asim Husain

RESUME

Asim Husain

AI/ML & SDE

Open to Work

Software Engineer and B.Tech CS student specialized 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
JavaScript
HTML/CSS
LLMs
GenAI
RAG
LangChain
Agentic AI
MLOps
TensorFlow
PyTorch
Data Analytics
FastAPI
Flask
REST APIs
Microservices
Web Services
PostgreSQL
VectorDB
Automation
Prompting
Docker
Kubernetes
Azure
CI/CD Pipelines
Git
GitHub
System Design
DSA
OOPs

0 Total

GitHub Contributions

Yearly

2022

2023

268

2024

763

2025

510

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 and Software Engineer focused on building practical, scalable, and production-ready AI solutions and software systems. My core expertise includes Python, SQL, MLOps, backend development, cloud deployment, LLMs, RAG, Generative AI, LangChain, Agentic AI workflows, System Design, Database Design, SDLC/STLC, and Microservices. Through my AI/ML and Data Analytics internships, I’ve gained hands-on experience working with MLOps, Deep Learning, NLP, agentic workflows, and AI-powered chatbot and assistant applications. I also have experience automating data and reporting workflows using Python and SQL, reducing manual effort by around 40% while improving efficiency and reliability.

Featured Projects

RAG System

AI / ML

RAG System

Built a RAG system using FastAPI, LangChain, and ChromaDB with Jina embeddings, SQLite, Docker, and Azure deployment.

FastAPI LangChain ChromaDB VectorDB RAG Docker

CureHelp+

Web Apps

CureHelp+

An AI-assisted health companion offering preliminary insights, symptom-based guidance, and smarter access to care.

Flask LLMs HTML/CSS REST APIs Web Services Python

IntervBot

AI / ML

IntervBot

Practice interviews with AI-generated questions and structured feedback to build confidence and improve answers.

React Node.js LLMs GenAI PostgreSQL REST APIs

TinyURL

Web Apps

TinyURL

Blazing-fast link toolkit: shorten and unshorten URLs, and generate QR codes for effortless sharing anywhere.

Flask QR Codes PostgreSQL System Design Python Automation

PredicTrade

AI / ML

PredicTrade

AI-driven market forecasting that turns historical trends and live signals into clear, actionable insights for smarter investing.

Streamlit TensorFlow PyTorch MLOps Data Analytics Python

Lead Suite

Web Apps

Lead Validation Suite

Cleans and verifies lead data to remove junk and keep only accurate, high-quality contacts in your pipeline.

Azure FastAPI PostgreSQL Microservices APIs Data Analytics

Portfolio

Web Apps

Personal Website

A clean, responsive portfolio showcasing projects, writing, and skills across AI, ML, and full-stack development.

HTML/CSS JavaScript GSAP Git GitHub Web Services

Soon

Other

Coming Soon

New project in development

Agentic AI Prompting LLMs GenAI WIP

Areas of Expertise

Software Development

Designing and implementing high-performance, distributed software architectures using modular microservices, asynchronous RESTful APIs, and optimized SQL databases. Specializing in building scalable, secure, and production-grade full-stack solutions with clean code practices, CI/CD automation pipelines, and robust system monitoring.

Python SQL FastAPI Flask HTML/CSS REST API Javascript Agile System Design Database Design Microservices Web Services SDLC/STLC CI/CD Azure Docker Git/GitHub DSA OOPs

AI/ML Development

Developing and deploying state-of-the-art generative AI systems, advanced Retrieval-Augmented Generation (RAG) pipelines with two-stage retrieval (Vector Search + Cross-Encoder Reranking), and multi-agent systems. Orchestrating robust MLOps workflows, optimizing custom prompt engineering, and utilizing industry-leading frameworks like LangChain, PyTorch, and vector databases.

AI/ML/DL Python SQL MLOps LangChain RAG LLMs GenAI Maths Statistics Agentic AI Automation VectorDB Data Analytics Tensorflow PyTorch Prompting CI/CD REST API AI APIs

Data Science

Extracting actionable intelligence and building predictive pipelines from massive, unstructured datasets through advanced statistical analysis, custom feature engineering, and high-performance ML models. Streamlining data engineering pipelines using Python and SQL, creating interactive business intelligence dashboards, and deploying automated model training workflows.

Python SQL MLOps Data Analytics VectorDB AI/ML/DL Maths Statistics Prompt Eng. Tensorflow PyTorch NumPy Pandas Matplotlib PowerBI Microsoft Apps Feature Eng. EDA Evaluation Deployment

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.