Background Desktop Image Background Mobile Image

Wasimuddin Salar Fathimullah

Coding my way from curiosity to creativity — one algorithm at a time.

Profile Image

Wasimuddin Salar, Fathimullah

Machine Learning Engineer with a Master’s in CS from SIUC and 3+ years of combined academic, research, and industry experience. Built scalable ML models for federated learning, NLP sentiment analysis, and anomaly detection. Proficient in Python, PyTorch, TensorFlow, and GCP with hands-on experience in data engineering, deployment, and stakeholder reporting. Proven record of translating data into actionable insights and deployable ML solutions.

Address: 900 E Park St, Carbondale, IL 62901

DOB: February 23, 2000

Phone: +1 (618) 434-5330

Experience

Volunteer Technical Assistant

Southern Illinois University Carbondale
  • Analyzed data from 1000+ residents and staff to derive actionable insights for campus housing improvements.
  • Designed and executed 12 bimonthly surveys, boosting engagement and satisfaction by 20%.
  • Delivered 10+ performance reports to guide housing assets worth $50,000 and proposed 3 tech-driven solutions, including predictive analytics dashboards and automated data collection workflows.
  • Built a predictive model using Scikit-learn to forecast resource demands, reducing underutilization by 15%.
July 2024 - Present

Graduate Assistant

Southern Illinois University Carbondale
  • Led 20 Resident Assistants, fostering a 30% increase in student engagement by implementing weekly community-building events.
  • Integrated Navigate, Advocate, and Qualtrics tools, automating workflows to reduce resident concern response time by 50%.
  • Recruited, and mentored Resident, and Desk Assistants, achieving a 95% retention rate through a structured onboarding process.
  • Conducted sentiment analysis and created dashboards on student feedback using NLP models, enhancing community programs, and cutting the housing vacancy rates by 10%.
August 2022 - May 2024

Assistant System Engineer

Tata Consultancy Services, India
  • Developed automated reporting tools, increasing operational efficiency by 25% and client satisfaction by 15%.
  • Consolidated Pega, JIRA, and ServiceNow systems to streamline workflows, resulting in a 20% faster task resolution rate.
  • Resolved critical system issues using Pega tools, Tracer and Clipboard, reducing application downtime by 40% while achieving a Guardrail compliance score of 95.
  • Collaborated with the data science team to incorporate ML-based anomaly detection for critical business workflows, improving early issue identification.
May 2021 - June 2022

Python Developer Intern

SuBrains Solutions Pvt Ltd, India
  • Engineered and evaluated ML pipelines for AI-driven e-learning modules, enhancing learner personalization by 30%.
  • Processed and analyzed raw datasets from 10K+ user interactions, trained classifiers (Logistic Regression, Decision Trees) to optimize content delivery based on user behavior, increasing module completion rate by 25%.
  • Collaborated in Agile Sprints with cross-functional teams to integrate ML outputs into production.
December 2020 - April 2021

Education

Southern Illinois University Carbondale

Master of Science in Computer Science

GPA: 3.879/4

Completed a comprehensive curriculum that covered:

  • Linux/Unix programming, algorithm design, and machine learning techniques.
  • strong foundation in autonomous mobile robotics, with practical applications for intelligent system development.
  • knowledge in distributed applications and advanced operating systems, improving scalability and system efficiency.
  • Data Engineering course, emphasizing data management, processing, and analytics using Google Cloud Platform (GCP) and BigQuery.
  • Enhanced Python programming skills, applying them to deep learning models and data-driven projects.
  • Gained exposure to blockchain technologies and their applications in decentralized systems.
August 2022 - May 2024

Koneru Lakshmaiah Deemed University

Bachelor of Technology in Electronics and Communication Engineering

GPA: 9.03/10

Completed coursework focusing on foundational and advanced electronics, communication, and computer science concepts.

  • Developed a strong understanding of programming, data structures, and key areas like machine learning, embedded systems, and network design.
  • Core Courses:
    • Introduction to Electronics Engineering, Single Variable Calculus and Multivariate Algebra
    • Engineering Materials, Digital Signal Processing, Analog and Digital Communication
    • Computer Organization and Architecture, Probability Theory & Stochastic Processes
    • Machine Learning, Data Sciences & Big Data, Embedded Controllers, and IoT
July 2017 - April 2021

Skills

Python
C
R
R Programming
SQL
Google Cloud
PEGA Infinity
PyTorch
Scikit
Keras
NLP
Matlab
ServiceNow
Multisim
MS Office Suite
BigQuery
Scrum
SDLC
Waterfall

Projects

Federated Learning IDS for Autonomous Vehicles

Graduate Project | April 2024

  • Engineered an Intrusion Detection System (IDS) using Federated Learning (FL) and Vision Transformer (ViT) architectures, attaining 90% accuracy in traffic sign recognition systems for autonomous vehicles.
  • Improved vehicle security by 40% with a 15% reduction in false positives.
  • Leveraged the LISA Traffic Sign Dataset with 47 classes on a decentralized FL-based traffic sign recognition system for detecting and mitigating threats.
  • Reduced model training time by 50% due to efficient FL optimization techniques.
  • Cut communication overhead by 30%, improving model convergence across distributed clients.

Marketing Campaign and Loan Status Predictor

Machine Learning and Soft Computing | December 2022

  • Implemented supervised ML models (Decision Tree, K-Nearest Neighbor, and Naïve Bayes) to predict term deposit subscriptions.
  • Harnessed Python libraries like NumPy, Pandas, and Matplotlib for data wrangling and data analysis to generate informed decisions.
  • Integrated a Differential Privacy Mechanism to protect sensitive information while predicting loan eligibility with 97% accuracy.

Gesture Controlled Car

Arduino IDE and Arduino Nano Microcontroller

  • Designed and implemented a gesture-controlled car using Arduino Nano Microcontroller and MPU6050 accelerometer sensor.
  • Developed custom algorithms in Arduino IDE to interpret gestures, achieving over 95% gesture accuracy in controlling direction (forward, backward, left, right).
  • Integrated Bluetooth for real-time communication, ensuring a response time of within 300 milliseconds and enabling distance control of up to 10 meters.
  • Ensured seamless communication between hardware components (Arduino Nano, sensors, motor drivers) to achieve responsive and precise control.

Pega Projects

POC 1: ABC Recruitment

Concepts Covered: Case design, Multi-step Form, Child case, Case Dependency, Data Transform, Optional action, Correspondence

Description: Automated the recruitment process to streamline job applications, manager approvals, interview scheduling, and result communication through email notifications.

POC 2: Book An Arena

Concepts Covered: Case management, Data Modelling, Decision design, Correspondence, Data Pages, UI

Description: Designed an online arena booking system to manage customer requests, amenities selection, and booking confirmations while handling cancellations with appropriate charges.

POC 3: Distribution System

Concepts Covered: Case management, Data Modelling, Decision design, Correspondence

Description: Built a courier service management system to track booking requests, item pickup, delivery status, and customer feedback seamlessly.

Certifications & Awards

Pega Certified System Architect Badge
Pega Certified System Architect

Issued by Pegasystems
Pega Certified Senior System Architect Badge
Pega Certified Senior System Architect

Issued by Pegasystems
Google Data Analytics Badge
Google Data Analytics

Completed via Coursera
Machine Learning Badge
Machine Learning

Completed via Coursera
Machine Learning Badge
From Excel to Power BI

Completed via Coursera
Machine Learning Badge
Introduction to TensorFlow

Completed via DataCamp
Machine Learning Badge
Introduction to Deep Learning

Completed via DataCamp
Award Icon
Best Coordinator Award

PULSE Student Body

Interests

When I'm not staring at lines of code or wrestling with Machine Learning quirks, I’m on a quest to master the art of flavors in my kitchen — think aromatic Indian spices, bold curry experiments, and dinner parties that make me feel like I’m auditioning for a cooking show.

Beyond experimenting with recipes, you’ll find me glued to a suspenseful crime novel or engrossed in epic adventure stories, always seeking the next gripping tale. Whether it’s a nail-biting movie or getting lost in the melodies of music, I’m constantly exploring new narratives.

While Chess sharpens my strategic thinking, PC gaming immerses me in captivating storytelling and adventurous worlds, like Assassin’s Creed, God of War, Need for Speed, Spider-Man, and countless others.

Adventure is my happy place — whether it's hiking through hidden trails, soaking in panoramic mountain views, or simply letting nature surprise me with its twists and turns. My downtime is a blend of culinary creativity, reading escapades, and chasing new trails or recipes.

“Cooking is my meditation, reading is my escape, and every trail I take is a new adventure waiting to unfold.”

Let's Connect!
Name

Wasimuddin Salar Fathimullah

Phone

+1 618-434-5330

Email

wasimsalar.f.m@gmail.com

Address

900 E Park St, Carbondale, IL 62901, USA

LinkedIn

linkedin.com/in/wasimuddinsalar/

GitHub

github.com/WasimSalar

"Success is not final, failure is not fatal: it is the courage to continue that counts."
- Winston Churchill