Hi, I'm Nishchith Rao!

Passionate about solving complex problems through innovative solutions, I hold a Master's in Computer Science from Northeastern University, specializing in software development, AI, and Machine Learning. As a Software Engineer at Capgemini, I optimized network systems and achieved measurable performance gains. My experience as a Teaching Assistant for NLP and database design courses has sharpened my ability to simplify complex concepts.

My technical expertise includes Python, Java, SQL, Large Language Models (LLMs), TensorFlow, fullstack development, and REST APIs. My portfolio highlights include an AI-powered resume screener and analyzer, an energy optimization pipeline for smart homes, and a comprehensive fitness tracker application built with modern fullstack frameworks—all showcasing my passion for technology and creativity.

Driven by curiosity and committed to innovation, I aim to leverage data-driven insights and cutting-edge technologies to build scalable solutions that make a difference. I am currently open to work and eager to collaborate on impactful projects!

🖥️ Professional Experience

Graduate Teaching Assistant  | Northeastern University, Boston, MA ****

(Jan 2024 ~ May 2025)

• Teaching Assistant for the courses in Natural Language Processing (CS 6120) and Database Design (CS 3200).
• Managed 60+ students, designed lab coursework, graded assignments, exams and conducted lectures and lab sessions for students.

Associate Software Engineer  | Capgemini Engineering, India ****

(Feb 2022 ~ July 2023)

• Contributed to Cisco’s Network Convergence System 4K, developed router network features and new modules using Java Swing and XML.
• Improved the Transport Controller GUI using Figma, deployed into production leading to performance improvement of the router by 4.5%.
• Collaborated with Verizon on Optical Network Enhancement to revamp the user interface and implement optic channel-based network convergence; led to 6.5% performance boost in Q2 by optimized routing and visualization modules.
• Completed a 4-month internship as a 'Full Stack Developer', worked on Spring Boot, distributed multi-tier systems, JavaScript and React.

Machine Learning Intern  | Verzeo, India ****

(July 2020 ~ Sept 2020)

• Performed gender classification using Twitter data with NLP techniques (sentiment analysis, TF-IDF) and trained Logistic Regression models using scikit-learn, NLTK, and seaborn/matplotlib for result visualization.
• Built an image classification pipeline using CNNs with TensorFlow, Keras, and OpenCV; optimized model performance with data augmentation, and maintained code and experiments with Git and virtual environments.

📌 Projects

Please select each card to view project details.

최근 수행 프로젝트 DB

🔨 Skills

Some of my technical skills are listed below.

Skiis DB

🎓 Education

Northeastern University (Khoury College of Computer Sciences)

Boston, MA

Master of Science (MS) in Computer Science

(Sept 2023 ~ May 2025)

Courses: Algorithms, Database Management, Large Scale Distributed Systems, Programming Design Paradigm, Natural Language Processing, Machine Learning, Machine Learning Operations (MLOps)

Presidency University

Bangalore, India

Bachelor of Science (BS) in Computer Science and Engineering **

(June 2018 ~ June 2022)

Courses: Object Oriented Programming, Data Structures, Data Analysis, Operating Systems, Scalable Distributed Systems, System Design, Networks

🖋️ Find My Resume Here