Software Engineering Computer Science

Shrutiya Mohan

413-***-**** # **********@*****.*** ï linkedin.com/in/shrutiya § github.com/Shrutiya Amherst Education

University of Massachusetts Amherst Sep. 2023 – May 2025(Expected) Master of Science in Computer Science Amherst, MA

Coursework: Information Retrieval, Data Science, SWE(OOPS), Distributed OS GPA: 4.0/4.0 PES University Sep. 2017 – May 2021

Bachelor of Technology in Computer Science & Engineering Bengaluru, India Coursework: Data Structures and Algorithms, Big Data, Deep Learning, Cloud Computing CGPA: 8.93/10 Technical Skills

Languages: Python, Java, C, HTML5, Javascript, SQL, NoSQL, ReactJS, NodeJS Tools/Frameworks: GCP, AWS, Linux, Docker, Kubernetes, Tensorflow, Flask, Hadoop, MongoDB, DJango, RabbitMQ Experience

Kyndryl Solutions May 2023 – Aug. 2023

Senior Associate II Multi-Cloud Management Platform (MCMP) Bengaluru, India Insights Python, Jmespath, S3, EC2, ARIMAX, MongoDB, RabbitMQ

• Generated a insights report, predicting future costs, to drive financial optimization across cloud providers

• Modeled a custom feature to analyse private cloud data

• Mentored 5+ new hires on cloud technologies and advanced product knowledge Kyndryl Solutions Sep. 2021 – May 2023

Senior Associate I MCMP Bengaluru, India

Cost And Asset Management NodeJS, MongoDB, Docker, Kubernetes, Argo Workflow, FinOps

• Developed Tag Compliance dashboard for effective utilization of cloud services

• Achieved central management of multi-tenants on Kubernetes, enabling isolation of managing different configurations

• Contributed in migration to cloud-native services, reducing development time and increase in application scalability

• Engaged in customer-delivery team calls and resolved 100% of reported bugs from varied domains in time Hewlett-Packard Enterprise Jan. 2021 – July 2021

Research Intern Moonshot Chassis Manager 2.0 (CM2.0) Bengaluru, India Power Consumption Meter Python, SQL, ReactJS, Grommet

• Designed monitoring of edge-line system, CM2.0, to improve the production quality and predict failures

• Examined storage methods to record live sensor values to perform analysis on the time-series data Projects

Enhance Personalization in LLM Python, Transformer, FlanT5 © 2023

• Retrieval Augmentation approach enhanced personalization results from fine-tuned LLM.

• Experimented with ensembling retrieval models and re-ranking models to improve the results by 20%. Automatic Generation of Tutorial Python, ReactJs, Flask © IEEE Xplore CONIT 2021

• Orchestrated a web application to automatically generate tutorials from a text file input.

• Achieved 80% user satisfaction on the extractive summarization, and language agnosticism, and dynamic QA model. Searching a Video Database using NLP Python, Machine Learning, NLP © IEEE Xplore ESCI 2020

• Developed an application to search and extract a segment from an input video relevant to a voice query.

• Deployed deep learning algorithms considering the visual and audio features of the video to create tracks with captions.

• Enhanced the performance by more than 120% using heterogeneous parallel processing. Leadership / Extracurricular

Awards

• Pravega, IISC, 2020 - Designed fetal monitor using neural network III place /

• NEC SX-AURORA HACKATHON, 2019 - Developed Heart Abnormality Detection using ML models III place /

• Bounce HACK 1.0, 2019 - Built an Android App for NFC Payment serving the transport domain BEST IDEA prize /

• Microsoft Codefundo++, 2019 - Delivered an e-voting system using blockchain II place Å Training

• AWS Cloud Practitioner /

• GCP Cloud Certified Digital Leader /

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