Siddhartha Pothukuchi Email & Phone Number

Dallas, Texas, United States

Chicago, Illinois, United States

West Lafayette, Indiana, United States

• Conducting lab sessions to reinforce key concepts in vulnerability analysis, providing hands-on experience with tools and techniques.
• Assisting in the creation and grading of assignments and exams, ensuring they accurately evaluate students' understanding of course material.
• Offering one-on-one guidance and support to students, addressing queries related to course content and practical applications in vulnerability analysis.

West Lafayette, Indiana, United States

• Engineered interactive lab environments in Python and C++ for Cheesehub, a cybersecurity training platform.
• Deployed security labs, including Buffer Overflow and Adversarial Machine Learning attacks using Docker and Kubernetes, increasing deployment speed by 20% and scaling for 1,500 CNIT students.
• Developed labs to train 1,500 students on machine learning techniques, including Scikit-learn, TensorFlow, and Python.
• Utilized Excel and Tableau to track and visualize KPIs for student progress, resulting in a 30% improvement in student performance.
• Created LSTM-based predictive models to personalize student learning experiences, increasing lab engagement by 25%.
• Performed healthcare analytics on health records data using deep learning transformer models with TensorFlow and PyTorch, achieving 93% accuracy in patient outcome predictions.

Atlanta, Georgia, United States

• Pioneered the end-to-end re-architecture of a multi-page web application, collaborating with a project manager, three software engineers, and one designer, boosting yearly revenue by $1.1M.
• Launched a cross-functional platform with Square payments and AI interactions using OpenAI-GPT APIs, achieving a 45% surge in customer engagement and a 50% adoption rate for AI features.
• Programmed the logic for a streamlined organic marketplace platform that scaled to 500,000 users.
• Developed the frontend using CSS, ReactJS, and jQuery, and implemented the backend with a Golang server, managing database operations with PostgreSQL.
• Deployed a recommendation engine to production to conditionally recommend products and dietary reports based on order history, increasing average order size by 12%.
• Developed an LSTM-based forecasting tool to predict surges in orders, reducing pickup time by 10 minutes.

West Lafayette, Indiana, United States

• Architected a management analytics dashboard to monitor staff and third-party platform progress at Purdue.
• Utilized Django, JavaScript, ReactJS for web development and MySQL Server for database management.
• Implemented RESTful APIs in Django, boosting reporting speed by 20% and reducing data retrieval times by 40%.
• Built internal tool with Selinium to automate QA and monitor web applications, improving CTR by 5%.
• Devised a unit testing infrastructure using Python and JavaScript, reducing reported bugs by 12% in one month.

Hyderabad, Telangana, India

• Engineered an intricate and accurate 3-D model of a target device, achieving a 53% enhancement in rendering time and providing users with real-time, interactive visualizations of temperature readings.
• Unified Django and Three.js to realize seamless live interactions, developing responsive and dynamic user interfaces, which led to a 20% increase in user engagement.
• Collaborated intensively with cross-functional teams, aligning visual representation with actual device specifications, and refining the overall functionality of the live visualization feature.

Kharagpur, West Bengal, India

• Engineered a Django-based healthcare platform for predictive analysis, enhancing early disease detection by 25%.
• Optimized RESTful APIs in Django to serve data from the front end to machine learning models, improving data integration efficiency by 30%.
• Leveraged Hadoop for distributed processing of a 1TB hospital dataset, implementing a SVM classifier which cut analysis time by 20%, through parallel processing.

Hyderabad, Telangana, India

• This was a summer internship under the supervision of Dr. GVV Sharma, Associate Professor, Dept. of Electrical Engineering, IIT Hyderabad.
• The research work was based on the design and implementation of a simple narrow-band communication system, where TCM-8PSK is used for modulation, followed by channel estimation and equalization in the presence of.
• Technologies used are MATLAB, Python, LATEX.
• Link for further reference,https://github.com/SiddharthPh/Summer2020/tree/master/MATLAB/8psk

Raipur, Chhattisgarh, India

Founded Quizzotica, starting with 3 members and scaling the club to 50 members.Marketed the club globally, attracting participants from prestigious universities such as Yale and Columbia.Organized and managed events, fostering a diverse and engaging community.

Master Of Science - Ms, Information Security

B.Tech, Electrical And Computer Science Engineering.

Intermediate

Icse