M.S. Artificial Intelligence
University name
Concentration in machine learning and computer vision. Thesis or capstone topic in one line.
//AI/ML Engineer
Megha Manoj
Graduate student and engineer building machine learning systems that ship — models that leave the notebook, survive real data, and run fast enough to sit inside someone's daily workflow.
- Based
- Boston, MA
- Focus
- Artificial Intelligence
- Status
- Graduate Student
01
Skills
Machine LearningCore
- PyTorch
- TensorFlow / Keras
- scikit-learn
- Hugging Face
- ONNX Runtime
Languages & DataDaily
- Python
- SQL
- C++
- NumPy / Pandas
- Polars
ModelingDomain
- CNNs & ViTs
- Semantic segmentation
- 3D reconstruction
- Self-supervised learning
- Model compression
PlatformMLOps
- Docker
- AWS / S3 / EC2
- MLflow
- Weights & Biases
- CI/CD pipelines
02
Education
Degrees, focus areas, and the coursework that backs them.
B.S. Computer Science
University name
Minor or concentration, honors, GPA if it helps you — drop this line if it doesn't.
03
Experience
Where I've worked and what changed while I was there.
AI/ML Engineer
GelSight
Vision models for tactile surface measurement — training, evaluation, and the pipeline that gets them into the product.
Machine Learning Intern
Company name
Built and benchmarked a defect-classification model, taking it from prototype to a reproducible training pipeline.
Undergraduate Research Assistant
University lab
Data collection and model experiments for a perception project; co-authored the resulting workshop paper.
04
Projects
Built end to end — problem, model, and the interface someone uses.
Deployed01
Project One
One or two sentences on the problem, the approach you took, and what it does now that it didn't before. Keep it concrete.
00%Headline metric
Research02
Project Two
What question you were answering, what you tried, and the result — including the part that didn't work if it's interesting.
0.00Score / baseline
Open source03
Project Three
A tool or library you released. Say who it's for and what it saves them, then link the repo from the title.
000Stars / users
05
Extracurriculars
The things outside the job description.
Community
Organization name
Your role and what you did — mentoring, running events, leading a chapter.
Teaching
Workshop or course
What you taught, to whom, and roughly how many people came through it.
Competition
Hackathon or Kaggle
The event, what you built or placed, and the team you did it with.
Interests
Outside the terminal
Something human — the hobby, the sport, the instrument. One line is plenty.
Contact
Let's talk
I'm a graduate student looking for AI/ML engineering roles and internships, and always happy to talk about interesting problems in the field. The fastest way to reach me is email.