Deep Learning Specialization

QuestBridge National College Match Finalist and QuestBridge Scholar

I am a 3rd year undergraduate at Caltech majoring in Computer Science. I have background in software design/development and machine learning, and I am currently seeking software engineering roles to contribute my skills.

Learning and Vision Track. Courses: Data Structures & Algorithms, Software Design, Learning Systems, Discrete Mathematics, Functional Programming, Algorithms (Design & Analysis), Decidability & Tractability, Computing Systems, Relational Databases, Web Development, Machine Learning & Data Mining

California Institute of Technology - Caltech

*   **Pioneered an AI-based testing framework for AI software** by designing and developing a two-stage learning- based approach (Conditional Diffusion Modeling) with **PyTorch** that generates **realistic and safety-critical** traffic **simulations** for **autonomous driving systems** (ADS) **testing**.
*   **Enhanced the full ADS stack**, including prediction, planning, and control modules, to support independent control of agent vehicles and vehicles under test.
*   **Extended software capabilities** to include secondary user-defined objectives (i.e. speed limit compliance) for traffic simulation.
*   **Actively participated** in **code reviews** and promoted best coding practices to ensure **code maintainability** and **scalability**. Followed **agile methodologies** to manage project timelines, deliverables, and collaborative tasks. Conducted comprehensive **benchmarking** and **performance testing** for the testing framework.

Software Engineer Intern

*   **Developed and deployed mobile applications** using **Dart/Flutter** and integrated backend services with **Firebase** and **AWS Cloud.**
*   Worked on **predictive modeling projecting** using advanced AI techniques, including **reinforcement learning**, **transfer learning**, and **evolutionary algorithms** with the Paracme-01 AGI system.
*   Gained hands-on experience in **Quantum Computing** with **Qiskit** and **Pennylane**, and implemented scalable models using **serverless architectures on Azure.**

*   **Organized** a complex creative **technical project** with fellow Caltech students through **GitHub**.
*   **Programmed from scratch** the 2D **physics engine**, input-output features, artificial intelligence, and otherelements for a video game.
*   Used **POSIX APIs** and own code in **C programming language** to develop a large **software deliverable.**
*   Participated in weekly **code reviews**, from which learned to enhance **code readability, API design, documentation, refactoring, testing, and extensibility.**

Software Developer

*   **Collaborated** closely with a **multidisciplinary team of researchers** to understand domain-specific challenges and develop **robust scalable algorithms** with **Java** to enable accurate quantification of complex insect behavior, enhancing research efficiency. **Reduced errors** in behavior classification **by 20%** compared to existing codebase.
*   Leveraged **state-of-the-art deep neural networks and transfer learning** techniques to extract insights from multi- angle recordings of insect interactions. Created and trained machine learning classifiers with **Python, MATLAB, and Linux**.
*   **Optimized the software to handle vast datasets**, expediting data analysis. Manipulated ~ 7 TB of data using **SQL** and **Java 8 streams**. **Reduced data processing times by 30%** using **SQL indexing and query optimization.**

ML Engineer Intern

Jonayet Lavin

English

Native or bilingual proficiency

Bengali

Caltech Computer Science Undergraduate

Documentation

Risk Management

Software Development

Quality Assurance

Communication Skills

Testing

Python

Java

Time Management

Strong algorithms and data structures background

Attention to detail

Debugging

Azure

Firebase

agile

Matlab

C/C++

Analytical Thinking

Scikit-learn

Flask

Report Writing

Automation

Spark

Machine Learning tools

API design

Jupyter

Machine learning and data mining tools

Regression

Machine-learning models

Machine learning algorithms

Pytorch

Verification

AWS Cloud

System Design

Performance tuning

Machine learning fundamentals

SQL Servers

API development

Risk Mitigation

Teamwork

Analysis

Time Management Skills

Problem-Solving

Adaptability

Requirements Gathering

Analytical skills and aptitude

Design and execute creative solutions

Agile project delivery skills

Technical Knowledge

Coding Proficiency

Communication

Problem Solving

Time management

Adaptable to change and ability to execute quickly

Interpersonal Skills

Motivated, self-directed and driven

creativity

Organization

Prioritizing skills

Critical thinking

Collaborative

Patience

Passionate Learner

Problem Solving Skills

Detail Oriented and Organized

Verbal and Written Communication

Multi tasker

Jonayet Lavin

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