Syed Husain

Hi, I'm Syed Husain!

I'm a Machine Learning Researcher at U.S. Army DEVCOM Army Research Laboratory, developing DRL controller models to stabilize aircraft.

Experience

U.S. Army DEVCOM Army Research Laboratory

U.S. Army DEVCOM Army Research Laboratory

Machine Learning Researcher

Jun 2024 – Present

  • Developed DRL algorithms using PyTorch for vibration control of TRAST model systems, achieving a 95% reduction in vibration moment
  • Enhanced algorithm robustness for aircraft whirl flutter suppression, resulting in a 90% improvement in control stability
  • Developed ML models to predict the TRAST model data at various velocity speed knots with 97% accuracy
  • Conducted simulations and performance assessments demonstrating a 95% increase in system-damping efficiency
WSSC Water

WSSC Water

IBM FileNet Developer

Jun 2023 – Aug 2023

  • Spearheaded enhancements in document workflow resulting in a 20% reduction in processing time using Content Platform Engine (ACCE)
  • Optimized out-of-the-box(OOTB) workflows in IBM Content Navigator(ICN) to boost automation efficiency by 30%
  • Demonstrated mastery in P8 Administrative control for repository management and IBM FileNet technology stack for configuring Enterprise Content Management (ECM) solutions
  • Elevated user satisfaction by revamping UI templates with CSS and HTML for workflow definitions
Personic Virtual Clinic LLC

Personic Virtual Clinic LLC

Data Management Analyst

Dec 2021 – Jan 2022

  • Improved database performance for medical reports by successfully implementing CRUD operations through MySQL
  • Applied data analysis of medical reports using Python libraries such as Scikit-learn, NumPy, and Pandas
  • Utilized Tableau to create insightful data visualizations to boost operational efficiency by a significant 40%
Download Resume

About Me

Get to know me!

Hi, my name is Syed Husain and I am a enthusiastic, self-motivated, and driven Machine Learning Researcher based in Jessup, MD.


I have substantial experience across programming languages including Python, C++, C, Java, JavaScript, Node.js, JavaFX, and x86 Assembly.


I'm proficient in data analysis and have internship experience using FileNet. I hold certifications in SQL, Machine Learning, DevOps, and AWS. I'm goal-driven with a talent for solving problems using a data-driven approach.


I am excited to see where my career takes me and am always open to new opportunities. 🙂

My Skills

Programming Skills

Python

R

C++

C

Java

Assembly

Web Development Skills

JavaScript

TypeScript

Next.js

React

HTML

CSS

Backend Development Skills

Node.js

Flask

SQL

AWS

Data Analysis Skills

R

PySpark

Scikit-learn

PyTorch

Projects

Home Sales Price Trends Predictor

This project aim's in predicting the trends in average sales prices of US homes over time using various regression models including Linear Regression, Polynomial Regression, Ridge Regression, and Support Vector Regression (SVR).

Drift Travel App

Drift is a travel app that allows user to share their trips/journeys, find new ones and create destination folders for saving and organizing favorite trips.

S&P 500 Stock Predictor

The S&P 500 Stock Predictor trains machine learning models to forecast stock price trends for companies listed on the S&P 500 index. The project utilized historical stock data from the year 2000 to 2020 for various tickers within the S&P 500.

Stock Agent Chat Bot

The Stock Trader Chat Bot uses OpenAI's GPT-3.5 model to deliver tailored stock trading insights in a more casual friendly way. It uses Flask for web routing with a user-friendly react frontend.