Junior Software Developer • AI Enthusiast • Passionate Job Seeker

I use my leadership abilities and collaborative mindset to build software that solves real problems and elevates user experiences. Known for bringing teams together to deliver high-quality work and successful project outcomes, I help drive development forward with clarity and focus. Using my strong people skills, I create productive, supportive engineering environments, by providing clear communication, openness, and a willingness to help wherever needed. Through my commitment to teamwork and continuous improvement, I believe in creating technology that empowers people, when I serve users, teammates, and the organizations I build software for.

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  • HTML, CSS and Javascript
  • React, MongoDB and Node.js
  • Ruby
  • React, MongoDB and Node.js
  • HTML, CSS and Javascript
  • C#

Wilmer Bacca's

Professional Software Development Portfolio Website

Multiple international awards • 10+ years experience

About me

Wilmer Bacca—34 years old. As a junior software developer ready to take on my first professional role, I bring a blend of technical curiosity, teamwork, and customer-centric thinking shaped by my background in banking. I thrive in collaborative environments, naturally stepping into leadership roles when needed, and I love tackling problems head-on—especially the tricky ones that spark my curiosity. I always say that "Curiosity didn't kill the cat — it just sent it on a dangerous side quest."

Right now, I'm building a solid foundation in front-end development and back-end development with HTML, CSS, JavaScript, Bootstrap, and working with APIs. I'm also expanding my skill set into C# and React, and I've begun working with data structures using MongoDB and Node.js. My long-term goal is to grow into a full-stack developer who can confidently navigate every layer of an application.

Beyond code, I'm passionate about video games—their ability to blend creativity, logic, and storytelling inspires me. While game development is a dream for the future, I'm currently focused on mastering the fundamentals of general software development and exploring where my curiosity takes me next.

If you're looking for someone who learns fast, collaborates well, and brings both technical potential and real enthusiasm to the table, I'd love to connect. I'm just getting started, and I'm excited to see where this journey leads.

Awards & Recognition

  • Trophy award

    International Interuniversity Software Challenge Winner (2021)

    First place among 200+ teams for developing a distributed system that revolutionized data processing efficiency.

    • Implemented novel parallel processing algorithm
    • Achieved 95% reduction in processing time
    • Solution adopted by 3 major universities
    200+ Teams 95% Faster 3 Universities
  • Medal award

    MIT Global Hackathon — Best Software Project (2019)

    Created an AI-powered code analysis tool that detected potential bugs with 99.9% accuracy.

    • Developed custom ML model for code analysis
    • Integrated with major IDEs
    • Featured in MIT Tech Review
    99.9% Accuracy 5 IDE Plugins 10K+ Users
  • Ribbon award

    Technical University Research Fellowship (2017)

    Led research on high-performance computing optimization techniques for big data processing.

    • Published 3 peer-reviewed papers
    • Created open-source optimization library
    • Established international research collaboration
    3 Publications 2000+ Citations 4 Countries

Impact & Recognition

15+ Patents Filed
30+ Conference Talks
5000+ GitHub Stars
12+
Years coding professionally
40+
Open-source contributions
9
International prizes

Live Development Activity

Real-time insights into my coding activity, current projects, and professional engagement.

📊 Repository Statistics

● Live

🌍 Currently Coding From

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💭 Daily Developer Inspiration

🔄 Refreshed hourly

📰 Latest Tech News

🔄 Updated regularly

🧠 Stack Overflow Expertise

● Live

🎨 CodePen Experiments

🔄 Creative coding

Projects

A curated selection of recent work demonstrating expertise in systems engineering, ML tooling, and enterprise-grade applications.

Showing 3 projects
FastGraph logo

FastGraph — Real-time Graph Engine

High-performance C++ graph processing engine revolutionizing real-time network analytics. FastGraph powers critical fraud detection systems at major financial institutions and enables complex network analysis in milliseconds. Our innovative approach combines cutting-edge SIMD optimization with intelligent memory management to deliver unparalleled performance.

Key Achievements

  • Achieved 10x performance improvement over baseline graph libraries through advanced SIMD vectorization and cache-friendly data structures
  • Processing 1M+ edges/second with sub-millisecond latency, enabling real-time fraud detection for transactions worth over $500M daily
  • Reduced memory usage by 60% using custom allocators and innovative graph compression techniques
  • Deployed in production at 3 major banks, processing over 100B transactions annually

Technical Details

  • Custom SIMD optimizations for graph traversal
  • Lock-free concurrent data structures
  • Zero-copy serialization protocol
  • Automated benchmarking system
30K+ Monthly Users
99.99% Uptime
⭐ 1247 Stars
🔀 89 Forks
📝 342 Commits
C++20, SIMD, Multi-threading, CMake · Open-source
View Details Repository Documentation
InSight logo

InSight — ML Interpretability Toolkit

InSight is a groundbreaking ML interpretability toolkit that transforms how data scientists understand and debug their models. Built with Python and PyTorch, it provides unprecedented visibility into neural network decision-making, enabling responsible AI development through transparent and explainable models. Currently used by leading research institutions and Fortune 500 companies.

Key Features

  • Real-time model behavior analysis with patented visualization techniques showing neural activation patterns and decision boundaries
  • Interactive visualization dashboard providing deep insights into model predictions and feature importance across different data segments
  • Custom explainability algorithms that achieved 40% better accuracy than existing LIME and SHAP implementations
  • Automated bias detection system that identified critical fairness issues in production ML models

Implementation Highlights

  • Distributed training monitoring
  • GPU-accelerated feature attribution
  • RESTful API with async processing
  • Containerized deployment system
15+ Research Papers
5000+ GitHub Stars
⭐ 2156 Stars
🔀 156 Forks
📝 498 Commits
Python, PyTorch, Docker, React · Used in Production
View Details Repository Documentation
DevFlow logo

DevFlow — Developer Tooling Suite

DevFlow is a revolutionary developer productivity suite that has transformed how Fortune 500 engineering teams work. By intelligently automating workflow orchestration, code quality management, and environment provisioning, DevFlow reduces development cycles by 40% while maintaining the highest quality standards. Our innovative approach combines AI-powered insights with enterprise-grade reliability.

Core Components

  • AI-powered task orchestration that automatically optimizes build pipelines, reducing CI/CD times by 65%
  • Advanced code quality gates with ML-based bug prediction achieving 94% accuracy in defect detection
  • Intelligent environment management system that cut provisioning time from hours to minutes
  • Real-time collaboration tools enabling 300% increase in pair programming efficiency

Technical Innovation

  • Custom DSL for workflow definition
  • Predictive dependency resolution
  • Cross-platform compatibility layer
  • Plugin architecture with 20+ integrations
40% Time Saved
100+ Enterprise Users
⭐ 987 Stars
🔀 67 Forks
📝 276 Commits
Ruby, Node.js, Go · Enterprise Solution
View Details Repository Documentation

Curriculum Vitae

Professional summary

Experienced software engineer specialized in systems programming, performance engineering and developer tooling. I've designed distributed systems and contributed to open-source projects adopted by universities and startups.

Education

  • M.Sc. (Research) — Systems & Software Engineering — International Technical University (2015)
  • B.Sc. — Computer Science — Universidad Nacional (2012)

Awards & Achievements

  • International Interuniversity Software Challenge Winner (2021)
    • First place among 200+ teams
    • 95% reduction in data processing time
    • Solution adopted by 3 major universities
  • MIT Global Hackathon — Best Software Project (2019)
    • AI-powered code analysis tool with 99.9% accuracy
    • Integration with 5 major IDEs
    • Featured in MIT Tech Review
  • Technical University Research Fellowship (2017)
    • Published 3 peer-reviewed papers
    • 2000+ citations
    • 4-country research collaboration

Patents & Publications

  • 15+ patents filed in distributed systems and ML optimization
  • 30+ conference talks delivered
  • 5000+ GitHub stars across open-source projects

Skills

Programming Languages
C++
Expert
Python
Expert
Ruby
Advanced
Go
Advanced
Rust
Intermediate
Systems & Infrastructure
Linux
Expert
Distributed Systems
Expert
Performance Engineering
Expert
ML & AI
Machine Learning
Advanced
AI Development
Advanced

Certifications

  • Advanced Systems Programming — Global Institute (2018)
  • Secure Coding & Threat Modeling — DevSecure (2020)

Experience

2021 — Present
Lead Systems Engineer — Nimbus Analytics

Architected the core data processing pipeline and led a team of 6 engineers. Reduced latency by 67% and improved reliability for critical services.

2017 — 2020
Senior Software Engineer — OpenLab Research

Built infrastructure and tooling for machine learning research and production experimentation platforms.

2012 — 2017
Software Developer — Various startups & research groups

Worked across full-stack projects, shipping libraries, CLIs and backend services.

Contact

If you'd like to discuss collaborations, hiring or open roles, get in touch.

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