Ajay sohal

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about me

Research Analyst | Data Analytics | Embedded EngineerI am a versatile professional, seamlessly bridging the worlds of patent research and embedded systems engineering. As a Research Analyst, I’ve unlocked $100M+ in client revenue by analyzing 500+ patents, identifying infringement, and driving strategic portfolio optimization. On the engineering front, I’ve developed cutting-edge systems like SpectroPlotter and gas absorption measurement devices, harnessing Python, Raspberry Pi, and MATLAB. Fueled by a passion for innovation and problem-solving, I thrive on transforming complex challenges into actionable, high-impact solutions.Education
B.E. (Electronics & Communication Engineering) - Panjab University
GPA : 3.0/4.0

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Experience

Copperpod IP
Research Analyst July2023 - Present
•Analyzed over 100 portfolios and 500+ patents, enabling clients to generate over $100M in revenue by
identifying infringement, conducting prior art searches, and providing detailed market analysis.
•Conducted market research, reverse engineering, code reviews, and product testing, preparing legal and
technical reports to assess and document patent infringement.
• Advised clients on monetizing and optimizing patent portfolios, calculating damages from infringement, and
providing actionable strategies for revenue generation.CSIO-CSIR
Embedded Engineer Jan 2023 - June 2023
• Developed a gas absorption measurement system using a RedPitaya embedded system board and MATLAB.
• Conducted data acquisition and analysis for tunable diode laser absorption spectroscopy (TDLAS)
experiments.
• Conducted comparative analysis to optimize signal quality under varying conditions.
• Processed data to determine gas absorption frequency and levels with 90% accuracy, achieving 75% noise
reduction and baseline correction.
• Collaborated on a Python-based real-time data acquisition system, reaching 60% functionality.Design Innovation Center, Panjab University
IoT & ML Engineer July 2022 - Aug 2022
• Designed and developed SpectroPlotter, a low-cost, portable spectroscope with 70% efficiency, using RGB light,Raspberry Pi, and Python for light absorption and liquid solubility analysis, including data visualization.DGRE-DRDO
Data Science Intern Aug 2021- Sep 2021
•Developed a credit card fraud detection system using Isolation Forest and Random Forest algorithms in Python, achieving 80% efficiency and showcasing strong machine learning expertise.

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Skills & Projects

SKILLSProgramming Languages
C, C++, Python, VHDL , Visual Basic(Basic) , Kotlin
Data Science & Analytics88
MS Excel, Google Suite , Anaconda , Jupyter Notebook, SQl, Power BI, Tableau
Web Technologies
HTML, CSS , Javascript(Beginner)
Developer Tools
Git,VS Code, PyCharm,Thonny , Arduino IDE , Processing IDE
Electrical / Electronics Tools
Pspice , LTSpice , MATLAB , Simulink ,UKeil , Jubin 8085 , Octave
Origin Lab , Proteus , KiCad
Designing and Prompting
Canva , Adobe Lightroom, AI Tools

PROJECTSLow Cost ECG Machine | Low-cost, stable, and portable 3-lead ECG machine using an Arduino UNO and AD8232 sensor, achieving 80% efficiency.
Implementation of CMOS Logic Gates | Designed and implemented various CMOS logic gates, including full adders, MUX and DE-MUX in VHDL, while studying their characteristics.
Drowsiness Detection System | Efficient drowsiness detection alert system for drivers utilizing an IR sensor and Arduino Uno, achieving 75% efficiency.
Django based Web App | To-do list and blog web app using Python and Django framework.