Yash Kumar

I'm Yash Kumar, a Machine Learning Engineer specializing in AI solutions for business impact. I grew up in Jodhpur, India, a vibrant city known for its rich heritage.

My focus is on ML/AI systems in production, with expertise in computer vision, model optimization, and scalable ML architectures. I'm passionate about solving complex problems with elegant solutions.

Previously, I worked as a Machine Learning Expert at Outlier AI, where I improved predictive model accuracy by 20% and automated image processing pipelines using OpenCV and deep learning. Currently, I'm a freelance ML Engineer at Alignerr, developing constraint-based scheduling systems and hybrid decision systems.

I graduated from Lovely Professional University with a Bachelor's degree in Information Technology. During my studies, I led the development of SmartShop, a personalized grocery recommendation system that resulted in a peer-reviewed publication.

I'm proficient in Python, SQL, PyTorch, and TensorFlow. I've deployed ML solutions using FastAPI, Flask, and cloud platforms like AWS and GCP. My work often involves computer vision tasks using CNNs, Transformers, and YOLO architectures.

I'm active on GitHub and always eager to collaborate on interesting technical challenges. Feel free to reach out if you want to work together!

Experience

Alignerr – Machine Learning Engineer (Freelance)
January 2025 – May 2025

  • Engineered constraint-based scheduling systems in Python, leveraging OR-Tools and Z3 for NP-hard problems.
  • Developed hybrid decision systems by integrating symbolic reasoning with machine learning.
  • Built validation and data curation scripts to test solver outputs across edge cases.

Outlier AI – Machine Learning Expert
August 2024 – December 2024

  • Improved predictive model accuracy by 20% through advanced ML optimization and feature engineering.
  • Automated image processing pipelines using OpenCV and deep learning for computer vision tasks.
  • Designed and optimized SQL queries for data extraction, transformation, and ML reporting.
  • Deployed scalable ML APIs (FastAPI, Flask); collaborated with data labelling teams for annotation management.

Projects

SmartShop: Personalized Grocery Recommendation System

January 2023 – May 2023

Built a personalized recommendation system using ML and deep learning. Led a team of four to develop, benchmark, and deploy a scalable API solution. Published peer-reviewed paper at ICONIC2023.

Machine Learning Deep Learning TensorFlow FastAPI
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Lab Equipment Calibration Manager

January 2024 – April 2024

Developed a comprehensive web-based system for managing laboratory equipment calibration schedules, maintenance records, and compliance tracking. Reduced scheduling errors by 85%.

Django PostgreSQL REST API Celery
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Voice Recording Analysis

September 2024 – December 2024

Advanced voice analysis system combining speech recognition, sentiment analysis, and audio processing. Achieved 95% transcription accuracy with speaker diarization and emotion detection.

Speech Recognition Deep Learning NLP Audio Processing
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ATS Tools: AI-Powered Resume Analysis

May 2024 – August 2024

Intelligent Applicant Tracking System leveraging AI and NLP for automated resume screening, candidate ranking, and job-resume matching. Reduced screening time by 70%.

NLP spaCy BERT Flask
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New Words Prediction

October 2023 – December 2023

Advanced NLP system for predicting the next word in a sequence using deep learning. Implemented LSTM and Transformer models achieving 85% top-5 accuracy for autocomplete applications.

NLP LSTM Transformers TensorFlow
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Retail Store Analytics with SQL & Computer Vision

June 2023 – September 2023

Developed a retail analytics system combining computer vision and SQL-based reporting. Used YOLOv5 and CNNs for people counting and activity recognition. Deployed on GCP with Dockerized services.

Computer Vision YOLOv5 SQL GCP

Technical Skills

  • Programming: Python (expert), SQL, C/C++, Java, JavaScript
  • ML Frameworks: PyTorch, TensorFlow, Scikit-learn, Keras, OpenCV, NLTK, SpaCy
  • Computer Vision: CNNs, Transformers, YOLO, image processing, data augmentation, annotation, t-SNE, embeddings, clustering
  • Data Engineering: Data wrangling, EDA, SQL querying, PostgreSQL, MongoDB
  • API Development: FastAPI, Flask, RESTful APIs
  • Cloud & DevOps: AWS, GCP, Docker, Kubernetes, Jenkins
  • Version Control: Git, GitHub, Bitbucket

Publications

  • SmartShop: Personalized Grocery Item Recommendation System ICONIC2023
    Yash Kumar, Hasib Ahmed, Himanshu Kumar Sinha
  • Prediction Model for Flight Fare: A Generic Review ETEMPS 2024
    Yash Kumar, Hasib Ahmed, Venkata Subhash

Education

Bachelor of Science in Information Technology
Lovely Professional University, Punjab
June 2021 – July 2024