Payodhi Mandloi
Open to work4 years experienceMachine Learning Engineer
Machine Learning Engineer
Standing Rank
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Developer Badges
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Skills & Technologies
40 skillsWork Experience
Software Engineer - Intern
AeyeSafe Inc.
- Built Python and SQL ETL pipelines for sensor data; reduced latency by 30% to enable real-time model training.
- Developed NumPy, SciPy spatial heuristics for sensor placement, improving accuracy in safety-critical AI simulations.
- Refactored logic into RESTful services, enabling granular feature extraction to boost downstream model precision.
Software Engineer
Tata Consultancy Services Ltd.
- Designed an end-to-end selection platform; built high-performance data logic reducing screening overhead by 40%.
- Led POCs for Regex-based parsers, converting unstructured resumes into structured datasets for predictive modeling.
- Engineered REST APIs for multi-format ingestion, streamlining data flow into Postgres, Oracle for model training.
- Spearheaded 18-month migration to a Python, FastAPI extraction engine; reduced manual labeling effort by 35%.
- Engineered end-to-end Named Entity Recognition (NER) using SpaCy, NLTK and Regex, increasing accuracy by 20%.
- Automated data annotation scripts and performed error analysis; accelerated model training cycles by 40%.
Projects
Wildfire Detection
- Built a Pytorch pipeline to process 1000+ satellite images using custom spectral normalization and data augmentation.
- Fine-tuned VGG16 CNN via transfer learning; optimized hyperparameters to stabilize inference and hit 78% accuracy.
SkinCare Recommendation System
- Architected Rasa chatbot to extract user intent and skin profiles through asynchronous NLP pipelines.
- Engineered Collaborative & Content-Based engines to generate real-time insights from unstructured user data.
- Conducted A/B testing (30+ users); used feedback loops to refine NLP response logic and recommendation precision.
Task Orchestration Service
- Built a FastAPI and SQLAlchemy service using clean architecture to manage high-throughput model requests and data persistence.
- Established Pytest suites with 90% coverage, ensuring rigorous validation of feature sets prior to model ingestion.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
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About Details
Professional Bio
Machine Learning Engineer with experience in building ETL pipelines, NER engines, and recommendation systems. Proficient in Python, PyTorch, TensorFlow, and cloud technologies. Passionate about optimizing model performance and automating data workflows.
Master of Science in Computer Science
University of Maryland Baltimore County (2021 - 2025)
Bachelor of Engineering in Computer Science
Shri Vaishnav Institute of Technology and Science (2013 - 2017)