Mytresh Ravi — OS Portfolio

about_mytresh.txt

Mytresh Ravi

Backend & DevOps Engineer · NJ, USA

Open to Full-Time Roles

75%

Data error reduction @ S&P Global

50%

Approval time cut @ Qualcomm

3.87

GPA · Rowan M.S.

95.5%

CNN accuracy, COVID X-Ray

Software Engineer with 2+ years of experience in Backend development and DevOps solutions. Built and optimized high-performance systems across fintech and hardware domains. Led Java-based XBRL automation reducing data errors by 75% and processing latency by 90%. Developed FastAPI backend accelerating hardware workflows by 40–50%. Experienced in designing scalable ETL/ELT pipelines, real-time data processing, and AI/ML-driven applications.

✉ Get in Touch View Work → 📄 Resume

skills.json

Languages

PythonJava SQLBash JavaScriptHTML/CSS

Cloud & DevOps

AWS (EC2, S3, Lambda) Azure Cloud Azure Data Factory Azure Data Lake Gen2 Docker Kubernetes Terraform Ansible CI/CD Pipelines DevSecOps Bicep Azure DevOps

Backend & APIs

FastAPIREST APIs JSON / API Design Microservices

Data & Databases

PostgreSQLMongoDB OracleInfluxDB KafkaMQTT ETL/ELT Pipelines Query Optimization Power BIGrafana ELK Stack

AI / ML & Computer Vision

OpenCVDlib CNNTensorFlow/Keras Transfer Learning (VGG16) RAGLLM Predictive Analytics Anomaly Detection Feature Engineering

Tools & Practices

GitJIRA PostmanPyTest Agile/Scrum LinuxWindows

System Design Data Structures OOP Design Patterns Scalability Clean Code

Core Proficiency

Python / FastAPI95%

Java / Backend Systems90%

AWS / Azure / Cloud85%

Docker / Kubernetes / CI-CD88%

AI / ML / Computer Vision82%

SQL / Databases / ETL87%

experience.log

S&P Global

Jan 2023 – Nov 2023

XBRL Automation & Data Engineering · Hyderabad, India

Built a Java automation tool on Linux that parsed XBRL taxonomy and extracted SEC financial data, enabling the Scrum Agile team to deliver reports up to 80% faster.
Implemented XML parsing, schema validation and error-handling — reducing data errors by 75% and cutting manual financial processing time by 90%, accelerating reporting cycles from days to hours.
Optimized custom parsing logic using SAX-based streaming parsers to handle large-scale XBRL documents with minimal memory overhead. Implemented tokenization and regex-based pattern matching.
Standardized extracted financial datasets, integrated them with analytics and reporting systems using Oracle and MongoDB through optimized ETL/ELT pipelines — enabling insights 3× faster.
Designed strict XBRL taxonomy validation pipelines — reducing reconciliation errors by 65% and rework cycles by 40%.
Implemented CI/CD pipelines for automated testing and deployment using Git and Bash scripting.

JavaXBRLXML OracleMongoDBETL/ELT SAX ParserCI/CDLinuxBash

Qualcomm

May 2022 – Aug 2022

Backend Developer (Intern) · Hyderabad, India

Developed a Python-based FastAPI backend within an Agile/Scrum environment with a React web GUI and Qualcomm APIs to manage hardware change requests — improving visibility and reducing tracking time by 40%.
Automated multi-stage approval pipelines, cutting approval time by 50% and manual effort by 80%.
Designed and maintained RESTful API integrations with automated data validation and error-handling, reducing invalid request failures by 45%.
Optimized PostgreSQL database queries and implemented indexing strategies, reducing API response times by 35%.
Built logging and monitoring via ELK Stack, detecting and resolving failures 3× faster.
Implemented CI/CD pipelines using Git, automating build, test, and deployment workflows to production.

PythonFastAPIReact REST APIPostgreSQLELK Stack CI/CDJIRAGit

Internship Studio

Jul 2021 – Sep 2021

AI / NLP Intern

Developed and fine-tuned deep-learning–based German-to-English translation models using NLP techniques — improving translation quality by 18–25% (BLEU score increase).
Preprocessed multilingual text datasets including tokenization, cleaning, and sentence alignment.
Automated data preprocessing and evaluation pipelines, reducing manual effort by 40–50%.
Evaluated translation quality using BLEU score and accuracy metrics. Collaborated in an Agile team.

PythonNLPDeep Learning BLEU ScoreTranslation Models

projects/

Rowan University · Jan 2025 – May 2025

Real-Time IoT Environmental Monitoring System

End-to-end telemetry pipeline for continuous monitoring of gas concentration, temperature, and humidity. Secure MQTT → Python → InfluxDB → Grafana stack with sub-second data ingestion. Integrated predictive analytics and alerting for anomaly detection.

Storage −40% Sub-second latency Kafka integration Multi-node sensors

PythonMQTTInfluxDB GrafanaKafkaREST APIs

IEEE Published · SRM University

Driver Drowsiness Detection & Alerting System

Real-time fatigue detection using Eye Aspect Ratio (EAR) tracking via Dlib facial landmark detection and CNN-based feature extraction. Triggers alerts during drowsiness with sub-100ms latency. Validated across diverse lighting and head-movement conditions — deployed as standalone Python app on edge devices.

Accuracy 95%+ Alert latency <100ms Overhead −40% IEEE Published

PythonOpenCVDlib CNNPyTest

Deep Learning · Medical Imaging

COVID-19 Detection from Chest X-Ray Images

Deep learning pipeline using CNN & Transfer Learning (VGG16) to classify chest X-rays. Automated COVID-19 screening across 10,000+ images. Handled class imbalance with weighted loss functions. Ensemble-learning strategies with 97%+ sensitivity to minimize missed diagnoses.

Accuracy 95.5% Sensitivity 97%+ Manual effort −70% 10K+ images

PythonTensorFlow/Keras VGG16CNNOpenCV

Mobile Application · SRM University

Car Pooling Application

Technology platform consolidating carpooling within a broader multi-modal transport ecosystem. Built to reduce transportation costs by up to 50% through shared rides — with a focus on social and environmental impact.

Cost savings ≥50%

Android DevelopmentReact.js

AI · Computer Vision · SRM University

Volume Control with Hand Gesture Detection

Hand boundary detection using MediaPipe library achieving 97.8% accuracy. Uses thumb-index finger distance gestures to increase or decrease device volume — touchless human-computer interaction on edge devices.

Gesture accuracy 97.8%

PythonMediaPipeAI

Web Application · SRM University

Secure Instant Messenger (SIM)

Chat server for a LAN enabling all clients to send and receive messages. Used multi-threading to create individual client processes with socket connections for peer-to-peer communication via server.

PHPPhpMyAdmin HTMLSocketsMulti-threading

licenses_and_certs.db

Generative AI Fundamentals

Databricks

Jun 2025

AWS Essential Training for Developers

Mar 2025

Ethical Hacking: Hacking IoT Devices

Feb 2025

Python Essential Training

Feb 2025

NCL Spring 2024 Individual Game

Cyber Skyline

2024

An Improved Driver Drowsiness Detection using Haar Cascade Classifier

IEEE — Published Research

Apr 2023

AWS Cloud Practitioner Essentials

Amazon Web Services

Aug 2021

Linux Server Management and Security

Coursera

Dec 2021

Introduction to Cloud Computing (IBM)

Coursera

Oct 2021

C Programming Course (Hands-On)

SkillRack

Nov 2021

Building Web Applications in PHP

Coursera

Sep 2021

Problem Solving (Basic)

HackerRank

Aug 2021

Python (Basic) Certificate

HackerRank

Aug 2021

MTA: Introduction to Programming Using Python

Microsoft

Apr 2020

education.yaml

Master of Science · Computer Science

Rowan University

New Jersey, USA · Currently Enrolled

GPA: 3.87 / 4.0

Bachelor of Technology · Computer Science

SRM Institute of Science & Technology

Chennai, India

GPA: 8.71 / 10

IEEE Published Researcher

Driver Drowsiness Detection

Using Haar Cascade Classifier · Apr 2023

contact.sh

Let's work
together.

Open to full-time software engineering roles in backend development, cloud infrastructure, and data engineering. Based in New Jersey — available for remote or hybrid opportunities.

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Email

mytreshravi26@gmail.com Copy

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linkedin.com/in/mytresh-ravi-050349140

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