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

I thrive in solving complex problems, optimizing systems, and leveraging technology to build scalable, high-performance applications. With experience in backend 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)

• Developed scalable ETL pipelines using Airflow to extract, transform, and load data into MySQL & GCP, reducing manual effort by 35%.
• Optimized API request processing with FastAPI, enabling efficient communication between backend models, databases, and cloud storage.
• Designed Power BI dashboards, improving decision-making efficiency by 30%, and automated backend tasks using Python & SharePoint, cutting manual input time by 50%.
• 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 to Microsoft Dynamics CRM, increasing customer engagement and loyalty by 15%.
• Leveraged CRM Dynamics to improve business agility, driving 15% growth through strategic social capabilities.
• Developed RESTful APIs and JavaScript-based solutions, improving operational efficiency by 25%.

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

• Proposed a machine learning-based predictive model for assessing sensor damage in environmental systems.
• Used LSTM and Random Forest algorithms to analyze telemetry data for anomaly detection.
• Improved system reliability by 30% through early damage prediction and preventive maintenance.

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

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

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

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