Software Engineer · New Jersey, USA

Mytresh
Ravi

Backend & DevOps engineer with hands-on experience in Python, FastAPI, Java, cloud platforms, and CI/CD. Currently pursuing an M.S. in Computer Science at Rowan University (GPA 3.87).

Get in Touch View Work →
75%
Data error reduction at S&P Global
50%
Approval time cut at Qualcomm
3.87
GPA · Rowan University M.S.
95.5%
CNN accuracy, COVID X-Ray project
Skilled in Python, FastAPI, Java, SQL, React, AWS, Azure, Docker, Kubernetes, and CI/CD pipelines. Comfortable in backend services, IoT systems, computer vision, and ML. IEEE-published researcher. Eager to build solutions that are practical, reliable, and scalable.
01 /

Experience

Qualcomm
May 2022 – Aug 2022
Software Engineering 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 with real-time workflow — 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%.
  • Built logging and monitoring via ELK Stack, detecting and resolving failures 3× faster and improving system reliability for daily engineering operations.
  • Collaborated with cross-functional hardware and software teams in Scrum sprints using JIRA and Git, reducing rework by 30%.
PythonFastAPIReactREST APIELK StackJIRAGit
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%.
  • Integrated extracted datasets with analytics and pipelinesreporting systems using Oracle and MongoDB, enabling faster business insights.
  • Designed strict XBRL taxonomy validation reducing reconciliation errors by 65% and rework cycles by 40%.
JavaXBRLXMLOracleMongoDBLinuxAgile/Scrum
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) through model fine-tuning and iterative evaluation.
  • Preprocessed multilingual text datasets including tokenization, cleaning, and sentence alignment.
  • Automated data preprocessing and evaluation pipelines, reducing manual effort by 40–50% and ensuring consistent, repeatable model performance.
  • Evaluated translation quality using BLEU score and accuracy metrics. Collaborated in an Agile team and documented project milestones.
PythonNLPDeep LearningBLEU ScoreTranslation Models
02 /

Skills & Expertise

Languages
  • Python
  • Java
  • SQL
  • Bash
  • JavaScript / React
Cloud & DevOps
  • AWS (EC2, S3, Lambda)
  • Azure Cloud & Data Factory
  • Docker & Kubernetes
  • CI/CD Pipelines
  • DevSecOps · Bicep
AI & ML
  • OpenCV · Dlib · CNN
  • Transfer Learning (VGG16)
  • RAG · LLM Integration
  • Predictive Analytics
  • Anomaly Detection
Frameworks & Tools
  • FastAPI · REST APIs
  • Kafka · MQTT · InfluxDB
  • Grafana · ELK Stack
  • ETL/ELT Pipelines
  • PowerBI · Azure DevOps
Databases
  • PostgreSQL · MongoDB
  • Oracle · InfluxDB
  • Query Optimization
  • Indexing & Modeling
Practices
  • Agile / Scrum · SDLC
  • PyTest · Postman
  • Data Structures & OOP
  • Linux & Windows
  • Git · Code Reviews
03 /

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 and predictive alerting for anomaly detection.

Storage overhead −40% Sub-second query latency Kafka stream integration
PythonMQTTInfluxDBGrafanaKafkaREST APIs
IEEE Published · SRM University

Driver Drowsiness Detection & Alerting System

Real-time fatigue detection using facial landmark analysis and Eye Aspect Ratio (EAR) via the Dlib library. Validated across diverse lighting and head-movement conditions to minimize false positives in safety-critical environments.

Alert latency <200ms High-accuracy EAR detection
PythonOpenCVDlibComputer Vision
Deep Learning · Medical Imaging

COVID-19 Detection from Chest X-Ray Images

Deep learning pipeline using CNN and Transfer Learning (VGG16) to classify chest X-rays. Automated COVID-19 screening across 10,000+ images, prioritizing high recall to minimize missed positive diagnoses.

Accuracy 95.5% Manual review effort −70% 10K+ images
PythonTensorFlow/KerasVGG16CNNOpenCV
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 — a smooth, touchless human-computer interaction demo.

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, allowing peer-to-peer communication via the server.

PHPPhpMyAdminHTMLSocketsMulti-threading
04 /

Licenses & Certifications

Certification Issuer Date
Generative AI Fundamentals Databricks Jun 2025
AWS Essential Training for Developers LinkedIn Mar 2025
Ethical Hacking: Hacking IoT Devices LinkedIn Feb 2025
Python Essential Training LinkedIn Feb 2025
NCL Spring 2024 Individual Game Cyber Skyline 2024
An Improved Driver Drowsiness Detection using Haar Cascade Classifier IEEE 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
05 /

Education

M.S. Computer Science
Rowan University
New Jersey, USA
GPA: 3.87 / 4.0
B.Tech Computer Science
SRM Institute of Science and Technology
Chennai, India
GPA: 8.71 / 10
06 /

Contact

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.

✉
Email
mytreshravi26@gmail.com
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Phone
+1 (732) 799-8325
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LinkedIn
linkedin.com/in/mytresh-ravi-050349140
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GitHub
github.com/MytreshRavi
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