# Maarjani Sanghavi

> Machine Learning Engineer | Deep Learning, Computer Vision & AI Systems | Open to Full-Time Roles

Location: Raleigh, North Carolina, United States
Profile: https://flows.cv/maarjani

I hold a Master’s degree in Electrical Engineering from North Carolina State University, with a strong focus on artificial intelligence, machine learning, and computer vision. My interests center on applying AI across perception, language, signal processing, and intelligent embedded systems to build practical, real-world solutions.

Through research and industry experience, I have worked on a wide range of applied AI problems, including multimodal AI agents for pair programming, computer vision systems for automated number plate recognition achieving 85% detection accuracy, and embedded intelligence projects such as a smart energy-efficient blind control system using NodeMCU and real-time solar azimuth calculations.

My background combines deep learning and computer vision with system-level development. I have built end-to-end machine learning pipelines as well as low-level implementations such as cache and branch predictor simulators in C, giving me a strong appreciation for performance, reliability, and real-world constraints.

Technical interests:
Artificial Intelligence · Machine Learning · Computer Vision · Deep Learning · NLP · Signal Processing · Embedded Systems

Tools & technologies:
Python, MATLAB, C/C++, PyTorch, TensorFlow, Keras, OpenCV, Scikit-learn, SQL, Arduino, NodeMCU, Linux

I enjoy collaborating in interdisciplinary teams and am motivated by opportunities where strong engineering fundamentals and applied AI come together to create meaningful impact.

## Work Experience
### Junior AI Engineer @ Bridge The Gap Ventures
Jan 2025 – Present
- Building a multi-agent LLM platform using LangGraph and LLM API providers to orchestrate automated project onboarding, 
scoping, and scheduling workflows 
- Implementing controlled, deterministic agents with safety, legal, and scope enforcement and fallback model handling 
- Automating orchestration and approvals using n8n workflows integrated with business systems and APIs

### Researcher (AI Agents) @ North Carolina State University
Jan 2025 – Present
-Tagged and evaluated 18 controlled lab studies with 36 participants, employing mixed-methods analysis of surveys, transcripts, and interviews to uncover gender-based collaboration patterns.
-Demonstrated significant boosts in women’s self-efficacy and reductions in programming anxiety, especially in mixed-gender teams, highlighting the tool’s effectiveness.
-Identified changes in socio-emotional and behavioral dynamics, including increased trust, more democratic leadership styles, and improved collaboration equity across gender pairings.
-Produced empirical insights advancing research at the intersection of HCI, collaborative software engineering, and gender-inclusive tool design.
-Evaluated PairEquity, an inclusive real-time feedback tool using multimodal analytics to promote equitable remote pair-programming collaboration.

### Research Assistant @ North Carolina State University
Jan 2024 – Jan 2025 | Raleigh, North Carolina, United States
- Designed an end-to-end deep learning framework to predict synergistic effects of antibacterial drug combinations using pre-trained molecular graph transformers for drug representation and genome embeddings for bacterial profiling
- Integrated SMILES-based chemical descriptors, K-mer genomic features, and essential gene embeddings from Evo DNA foundation model to enable precise prediction of drug-bacteria interactions
- Developed different models such as a Bi-LSTM model with multi-head attention and data augmentation strategy, while working on the dataset efficiency and handling

### Research Assistant @ North Carolina State University
Jan 2024 – Jan 2025 | Raleigh, North Carolina, United States
- Engineered a smart wand system using NodeMCU, stepper motors, and a gear-driven mechanism, dynamically adjusting blinds based on real-time solar azimuth calculations from user-provided coordinates via Blynk mobile integration
- Developed a control algorithm that processes real-time data from a mobile device, computing solar azimuth angle achieving ±1° precision, and required blind rotation, ensuring accurate and automated adjustments

### Machine Learning Intern @ Endel Digital Solutions
Jan 2023 – Jan 2023 | Ahmedabad, Gujarat, India
-Designed, developed, and integrated a robust Machine Learning pipeline for a real-time truck Automatic Number Plate Recognition (ANPR) system, leveraging tools and frameworks such as LabelImg, YOLO, CNN, Tesseract OCR, TensorFlow, PyTorch, OpenCV, and Python, tailored specifically for Weighmast weighing solutions. Achieved a high detection rate of 85%.
-Spearheaded the end-to-end development of the ANPR system, from model training to deployment, ensuring seamless integration with the existing Weighmast software for automated vehicle tracking and monitoring.
Seamlessly integrated the ANPR system with the existing Weighmast Software, streamlining operations and facilitating automated tracking and monitoring of vehicles.
-Developed and deployed a RESTful CRUD API using MySQL and Postman, enabling efficient, real-time database interactions, optimizing data retrieval and storage, and significantly improving operational efficiency and website functionality.

### Creative Director @ Indian Society for Technical Education
Jan 2022 – Jan 2023 | Ahmedabad, Gujarat, India

### Executive Committee Member @ Indian Society for Technical Education
Jan 2021 – Jan 2022 | Ahmedabad, Gujarat, India

### Computer Vision Intern @ Embee Group - India
Jan 2022 – Jan 2022
-Implemented image processing scripts using C, Python, and MATLAB to execute various concepts.
-Developed an algorithm for defect detection on moving(real-time) mesh sheets used in Textile industries, covering 28 types of defects.
-Conducted comprehensive testing of different cameras under varied conditions including roller speeds, video, and image quality parameters.
-Demonstrated a deep understanding of the concepts and led discussions on the design and incorporation of the system for the textile industry, ensuring alignment with industry requirements and standards.


## Education
### Master of Science - MS in Electrical Engineering
North Carolina State University

### Bachelor of Technology - BTech in Electrical, Electronics and Communications Engineering
Nirma University


## Contact & Social
- LinkedIn: https://linkedin.com/in/maarjani-sanghavi

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Source: https://flows.cv/maarjani
JSON Resume: https://flows.cv/maarjani/resume.json
Last updated: 2026-04-17