Hi, I'm
Aahil Shaikh
Ambitious Computer Engineering student passionate about Software Engineering, Robotics, and AI/ML.
View ResumeExperience
- Implemented the autonomous navigation and mapping stack using ROS2 and stereo-camera SLAM to achieve precise localization for the Mars rover.
- Achieved robust rover position estimation and created highly accurate environmental maps by fusing SLAM, GPS, and wheel odometry data with an extended Kalman filter.
- Architected and developed a comprehensive Gazebo simulation environment to test and validate the navigation stack and other core rover subsystems.
- Enabled the development of robust malware detection and prevention mechanisms by reverse-engineering sophisticated malware families using YARA rules and static/dynamic analysis.
- Engineered a production firewall feature for inline, real-time blocking of malicious AI models, achieving 100% detection coverage with zero false positives.
- Filed a U.S./global patent for malicious AI model detection, slated for production deployment in early 2026.
- Architected a data curation pipeline where the core LLM classifier (built with Gemini API) achieved 100% precision/recall, creating a high-quality ground truth dataset managed with GCP Cloud SQL and Cloud Storage.
- Developed and optimized the core detection algorithm for high-throughput, low-latency performance in resource-constrained firewall environments.
- Developed an advanced threat intelligence system, initially detecting 6 specific malware families, which has since become a backbone tool for the team.
- Slashed production rule creation time from days to minutes by engineering a Python tool that automated malware fingerprinting and analysis.
- Processed millions of logs to automatically identify and fingerprint new malware families using ML clustering (TF-IDF, DBSCAN) and association rule mining.
- Founded and mentored two rookie robotics teams, guiding them to win 13 awards, winning the State Championships, and qualifying for the World Championship.
- Taught engineering design and hardware/software principles, fostering teamwork and enthusiasm.
- Led development of new robot technologies, including the creation of omnidirectional drivetrain and 3 degree of freedom arm using inverse kinematics, vision processing, and object recognition.
- Extensively used Java for robot programming and learned robot control and electrical systems.
- Won the 2023 Montgomery district event, placed highly in other competitions, advanced to the 2023 FIRST World Championship, and increased team percentile ranking globally by 23%.
PROJECTS
Manara
Current Project
A RAG-based agentic search engine using a custom framework to synthesize verifiable insights and mitigate hallucinations.
Ghost Trainer
1st @ WWPHacks 2023
A fitness app that motivates individuals to enhance their health by generating their own virtual opponent.
Unbounded
Created a procedurally generated dungeon RPG using a custom Java algorithm for real-time dungeon generation. I also integrated unit testing to automate code deployment and evaluation. The project utilized Perlin/Open Simplex noise and cellular automata to produce realistic, dynamic terrain.
Wildfire Predictor
2nd @ MontyHacks 2022
A ML app using a linear regression model to forecast wildfires with 95% accuracy using realtime API data.
Verita Health
3rd @ MontyHacks 2021
A centralized dashboard to aggregate medical reports from any source, offering a comprehensive view of your health.
AWARDS
Achievements in research, competition & academia
SKILLS
Languages
- Python
- Java
- C++
- JavaScript
- HTML/CSS
- MATLAB
Libraries
- NumPy
- Pandas
- SciKit Learn
- ThreeJS
- Flask
- TensorFlow
- LangChain
- React Native
- Google GenAI SDK
Technologies
- Git
- Linux
- Google Cloud Platform
- Vertex AI
- HuggingFace
- Vector Databases
- Docker
EDUCATION
San José State University
DeAnza & Foothill College
Rutgers University
Top 7% selected by the dean to join the Rutgers School of Engineering Honors Academy.
