Asick Ahamed Email & Phone Number

Bengaluru, Ka, In

Bangalore Urban, Karnataka, India

Bengaluru, Karnataka, India

● Migrated Monolithic legacy application to modern standard Microservice architecture.● Developed Time Series model using accelerometer and Vibration Sensors data to estimate thedowntime and maintenance time period and also Designed and Implemented incidentmanagement service with Sparkpost.● Developed a Risk Logistic Regression Model with Tensorflow for Asset performancemanagement system.● Created and deployed end-to-end APIs using MongoDB, Flask, Docker and Kubernities, tookownership and management of APIs.● Developed Time Series model using CT Scan Machine Sensors data to estimate the downtimeand maintenance time period.● Implemented task queue using Celery for efficient job scheduling and asynchronousprocessing.● Created and deployed end-to-end APIs in Repository Pattern using Flatpak, CosmosDB andFlask, took ownership and management of APIs.● POC: Created a NLP based chatbot with RASA framework to interact with customers to explainabout the product lineup.● Actively supervised project operations at all stages, providing creative solutions to any issues andproblems with exceptional problem-solving and decision-making abilities.● Prepared in-depth analysis reports, tracking the progress of each phase of development, andrelaying this information in a digestible format.● Designed and implemented data preprocessing pipeline for the time series data.● Collaborated with professionals including subject matter expertise, Site Engineers andcommunicating effectively to prevent any miscommunications or delays to understand theproblem.

Tenkasi, Tamil Nadu, India

Developed API’s based on business requirements with PostgresDB and Java basedQuarkus framework.● Created Log agent application for legacy systems Event logger for windows serverMachines.

Tenkasi, Tamil Nadu, India

Created HMI relates to business requirements

Chennai, Tamil Nadu, India

Dataset Collection and Annotation: Gathered and curated datasets according to specific customrequirements. Conducted thorough data annotation with label-IMG tool, ensuring high-quality andaccurately labelled datasets for training and evaluation purposes.● Model Training and Results Evaluation: Trained Computer vision model and Evaluatedwith Tensor Board.● Metrics Tuning for Performance Analysis: Hyper Parameter Tuning.● Documentation and Research Findings: Maintained comprehensive documentation ofresearch activities, including methodologies, experiments, and findings. Communicatedresearch results effectively, both verbally and in written reports, ensuring knowledgetransfer and supporting future reference.