About Me
I spent 10 years breaking systems so I could understand how to build better ones. Now I'm using that same precision to build ML systems at scale.
I'm Manvi Sharma - nearly a decade as a Software Development Engineer in Test at Workday, AWS, IBM, and British Telecom. Currently pursuing my Master of Business Analytics at UBC Sauder (Class of '26). After years of building and testing large-scale systems through automation, I became deeply interested in how data, algorithms, and machine learning can drive smarter decisions. That curiosity now fuels my transition into data science and applied ML engineering - where I combine production engineering rigor with analytical thinking to build intelligent systems.
My Journey
Professional Background
Workday
Senior Software Development Engineer Test
Jun 2023 - May 2025 · Vancouver, BC
Led automation & data validation
Amazon Web Services (AWS)
QAE II
Aug 2022 - Jun 2023 · Vancouver, BC
Built automated validation workflows
TD
QE Analyst
Jan 2022 - Jul 2022 · London, Ontario
Quality Engineering
BT (British Telecom)
Test Professional
May 2019 - Dec 2021 · Bengaluru, India
Test automation & RPA
IBM
Senior Technical Services Specialist
Dec 2018 - May 2019
Technical services & automation
Infosys Limited
Test Engineer
Feb 2018 - Nov 2018 · Bangalore
Test automation
Wipro
Project Engineer
Sep 2015 - Feb 2018 · Bengaluru, India
Project engineering & testing
Personal Interests & Hobbies
📸
Photography
🧘
Yoga & Fitness
🎨
Painting
🎧
Podcasts & Learning
🏔️
Hiking
🎾
Racquet Sports
Fun Facts About Me
📸
Creative Entrepreneur
Founder of HappyHungryHues, my photography brand. Captured 70+ projects-from weddings to Vancouver Fashion Week.
☕
Home Barista
Mornings start with latte art experiments and a perfectly dialed-in espresso shot.
🥋
Martial Artist
Red belt in Karate, training toward green. Strength, patience, and persistence matter as much outside the dojo as within it.
🎓
Lifelong Learner
Always learning & evolving - building on ten years in tech to explore data science and machine learning.
Technical Focus Areas
ML & Data Science
- · Deep learning: PyTorch, TensorFlow - CNNs, GANs, LSTMs, Transformers
- · NLP: BioBERT fine-tuning, NER, sentiment analysis, TF-IDF, Word2Vec
- · Computer vision: medical imaging, 3D point clouds, image-to-image translation
- · Classical ML: Isolation Forest, KMeans, logistic regression, ensemble methods
- · Time series: anomaly detection, forecasting, streaming data
Engineering & Deployment
- · Languages: Python, JavaScript, Java, SQL
- · Cloud: AWS (professional experience), Google Cloud
- · Deployment: Streamlit, FastAPI, Docker
- · Visualization: Tableau, Plotly, Matplotlib, Seaborn
- · Data: Pandas, NumPy, Scikit-learn, HuggingFace Transformers
Education
UBC Sauder School of Business
Master of Business Analytics · Aug 2025 – Aug 2026
Focus: Machine Learning, Optimization, Business Analytics
Awarded Canada Top Talent Scholarship
Annamalai University
Post Graduate Diploma, Computer Applications · 2018 – 2019
First with Distinction
Punjab Technical University
B.E., Computer Software Engineering · 2011 – 2015
First Division with Distinction
Certifications
- · NLP, Data Science for Business – DataCamp
- · Intermediate & Introduction to Python – DataCamp
- · Intro to GenAI, LLM, Responsible AI – Google Cloud
- · AI for Everyone – Andrew Ng (DeepLearning.AI)