Madhumitha Kolkar
Madhumitha Kolkar
Seasoned Machine Learning Engineer with 3.3 years of professional experience working with a specialization in Natural Language Processing, Computer Vision, Deep Learning and Generate AI.
- Role
Machine Learning Engineer
- Years of Experience
4 years
- Professional Portfolio
View here
Skillsets
- Generative AI - 3 Years
- Statistics
- machine learning
- AI Agents
- Scikit Learn - 4 Years
- SLM - 4 Years
- Transformers - 4 Years
- Neural Networks - 4 Years
- LLMs - 4 Years
- TensorFlow - 4 Years
- Pytorch - 4 Years
- Algorithms
- DevOps - 2 Years
- SQL - 4 Years
- Microservices - 3 Years
- MLOps - 4 Years
- JS - 3 Years
- Python - 5 Years
- System Design
- programming languages
- Debugging
- Data Structures
Vetted For
- Roles & Skills
- Results
- Details
Machine Learning Scientist II (Places) - RemoteAI Screening- 82%
- Skills assessed :Large POI Database, Text Embeddings Generation, ETL pipeline, LLM, Machine Learning Model, NLP, Problem Solving Attitude, Python, R, SQL
- Score: 74/90
Professional Summary
- Jan, 2024 - Present1 yr 4 months
Machine Learning Engineer
SNOWKAP | POWERWEAVE - Jan, 2021 - Jan, 20243 yr
Machine Learning Engineer
MERCEDES BENZ RESEARCH AND DEVELOPMENT - Jan, 2020 - Jan, 20211 yr
Data Scientist
DELOITTE
Applications & Tools Known
OpenCV
NumPy
Dialogflow
Mediapipe
Streamlit
Pandas
PyTorch
scikit-learn
Android SDK
MySQL
MongoDB
Git
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Flask
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FastAPI
PostgreSQL
FAISS
Pinecone
AWS Lambda
AWS S3
AWS EC2
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Docker
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Hugging Face
Airflow
AWS
Work History
Machine Learning Engineer
SNOWKAP | POWERWEAVEMachine Learning Engineer
MERCEDES BENZ RESEARCH AND DEVELOPMENTData Scientist
DELOITTEAchievements
- • Exemplary Performance: Recognized as a "Star Performer" for consistently exceeding established company benchmarks by 40%. • Mentorship and Talent Acquisition: Successfully trained and mentored over 15 individuals, and Actively participated in hiring for senior positions (T7/T8/T9s) and fresher, contributing to attracting top talent for company growth. • Open-Source Advocate: Made 4 notable contributions to popular Machine Learning libraries like Keras, TensorFlow, and OpenAI Whisper, actively promoting collaborative development within the Machine Learning community. - Speaker for Google , Conscious Algorithms : A Talk on AI Safety.
- Star Performer award
- Google Dev Conference speaker
- Mentorship of 15+ individuals
- Presented expertise at Google Dev Conference
- Star Performer
- Mentorship
- AI Safety Presentation
Major Projects
QuantumAR
Noah
AirFlow
paperScribe
Moodmap
SigSafe
SayWhatNow
Notii-fy
Engineered Notiify, an ad-free, local music player application inspired by Spotify. Utilizing Python and speech recognition, enabling hands-free music control by allowing users to voice-activate song playback. Attained an average voice command response time of 0.88 seconds.
OpinionSense
Coded and implemented OpinionSense, a sentiment analysis system for reviews using a Recurrent Neural Network (RNN) from scratch. Achieved an F1-score of 0.85.
Cropcure_AI
Created CropCure AI, a Flask application leveraging Deep Learning for real-time Blythe disease detection in potato leaves. Gained an F1-score of 88%
MK_LLM
- Devised a bigram character-based architecture, achieving a competitive F1-score of 87.2 on a held-out validation set.
- Trained MK-LLM on a subset of OpenWebText, a massive text dataset comparable to GPT-2 training data.
Education
Bachelor Of Engineering - Computer Science
SDMCET Dharwad, KA (2020)
Certifications
Machine Learning
DeepLearning.AI- Stanford (Apr, 2024)