🚀Software Engineer | Data Engineer | Cloud Enthusiast | AI & ML Practitioner
🔍 Passionate aboutbackend development, distributed systems, cloud computing, and AI-driven applications
🎓M.S. in Information Systems atNortheastern University, Boston, MA(Graduating May 2025)
🎓B.Tech in Electronics Instrumentation & Control atManipal Institute of Technology, India(Graduated June 2018)

I thrive in solving complex problems, optimizing systems, and leveraging technology to buildscalable, high-performance applications. With experience inbackend engineering, data processing, and AI, I love working on projects that drive real-world impact.

• Graduate Courses: Application Engineering & Development, Data Management and Database Design, Web Design & UX, Data Science Engineering Methods, Big Data Systems & Intelligence Analytics, Program Structures & Algorithm, Advances in Data Science & Architecture, Generative Artificial Intelligence.
• Undergraduate Courses: Machine Learning, Object-Oriented Design in C, Computer Networks & Protocols, Computer Vision, Programming in C#, Problem Solving using Computers in Java, Real-Time Operating Systems, Real-Time Embedded Systems, Embedded System Design, MicroController & Microprocessors.

🔹Data Scientist | Quest Global (ExxonMobil Assets)(Jan 2019 – Jan 2023)

• Developedscalable ETL pipelines usingAirflow to extract, transform, and load data intoMySQL & GCP, reducing manual effort by35%.
• Optimized API request processing withFastAPI, enabling efficient communication between backend models, databases, and cloud storage.
• DesignedPower BI dashboards, improving decision-making efficiency by30%, and automated backend tasks usingPython & SharePoint, cutting manual input time by50%.
• Awards: 🏆On The Fly Award (Nov 2020, Sept 2021), Popular Choice Award (Mar 2021)

🔹Software Engineer | Toshiba Mitsubishi-Electric Industrial Systems Corporation(July 2018 – Oct 2018)

• Engineered enhancements toMicrosoft Dynamics CRM, increasing customer engagement and loyalty by15%.
• Leveraged CRM Dynamics to improve business agility, driving15% growth through strategic social capabilities.
• DevelopedRESTful APIs andJavaScript-based solutions, improving operational efficiency by25%.

📌 **Predictive Modeling for Environmental Telemetry Data & Damage Prediction(Published in IRJMETS)

• Proposed amachine learning-based predictive model for assessing sensor damage in environmental systems.
• UsedLSTM and Random Forest algorithms to analyze telemetry data foranomaly detection.
• Improved system reliability by30% through early damage prediction and preventive maintenance.

📌Load Cell and FSR-Based Hand Assistive Device(Published in IRJMETS)

• Developed awearable assistive device for individuals with hand motor impairments.
• Designed aforce-sensitive resistor (FSR) and load cell-based sensor system for real-time feedback.
• Enhanced user mobility by implementingadaptive force sensing and haptic feedback mechanisms.

🔗LinkedIn
📧solanki.ram@northeastern.edu
🌎GitHub:solankiram2023

💡Always open to collaborations on innovative software, AI, and cloud projects! 🚀

Popular repositoriesLoading

1. INFO6150_WebDesign-UserExperienceINFO6150_WebDesign-UserExperiencePublic

   HTML

2. Data-Management-Database-DesignData-Management-Database-DesignPublic

3. Data-Science-Engineering-MethodsData-Science-Engineering-MethodsPublic

   Jupyter Notebook

4. Devops-automationDevops-automationPublic

5. Web-DevelopmentWeb-DevelopmentPublic

6. GenerativeAIExamplesGenerativeAIExamplesPublic

   Forked fromNVIDIA/GenerativeAIExamples

   Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

   Python