Adarsh Singh is an experienced engineer specializing in AI/ML and DevOps practices. He has worked on various projects including Natural Language Processing, Credit Risk Analysis, and disease segmentation using OpenCV. Proficient in Python, TensorFlow, and containerization tools like Docker and Kubernetes, he has a strong background in developing scalable ML services.
Experience
AI/ML Engineer
Tata Consultancy Services
Natural Language Processing (NLG) for automation of data and narration generation using GPT2 library, BPE, and NFKC tokenization. Developed a Credit Risk Analysis model for predicting corporate risk, including monitoring for defaulting conditions using ML models and data preprocessing tools. Implemented a three-step data security layer (key generation, data encryption, and data decryption). Developed analytics and threshold recommendation systems for bank systems using Random Forest model to minimize false positives. Worked on containerization and packaging tools, including RPM packaging for WAR code base deployment into GCP server, and utilized Docker for hosting machine learning services and APIs. Implemented DevOps tools including Jenkins pipeline for ML services, Kubernetes for container maintenance, Jfrog Artifactory, and Git for version control.
AI/ML intern
Hoverin aerospace pvt. ltd.
Worked on plant disease detection using OpenCV and disease segmentation, utilizing both color-based detection and CNN models.
Intern
Soft pro computer soultion pvt. ltd.
Worked on home automation using an IoT system, allowing operation of home devices from a web server.
Education
Institute of Engineering & Technology
Bachelor
Electronic and Communication Engineering