Hi, it's Rishab here!
Master of Science's in Computer Science with a specialization in AI from New York University and over 6 years of experience in Software Engineering, Data Engineering, and AI, I specialize in building high-throughput data pipelines, web apps, and ML systems that drive impact. I blend technical expertise with creative problem-solving to deliver products that make a real difference.
When I'm not coding, you'll find me tuning into the [Morning Brew Podcast], listening to some [House music], or exploring the city with my dog, Mylo, in search for some good Coffee. Currently, I'm channeling my passion into building a startup and am always keen to connect with like-minded individuals. Feel free to [reach out] if you'd like to collaborate or just chat about innovative ideas!
Work
Lead Engineer
Stealth Startup (Pre-Seed) | Nov 2024 - Mar 2025
Developing scalable APIs and optimizing server-side performance to handle dynamic content generation based on AI models. Working on data pipelines for AI training, enabling efficient data collection, preprocessing, and model deployment.
Software Engineer Fellow
HeadStarter AI | Aug 2024 - Oct 2024
Implemented projects integrating OpenAI API and Gemini API with Firebase backend and Next.js frontend.
AI Engineer Intern
Radical AI | Jan 2024 - Oct 2024
Optimized data collection and ELT processes with GCP Dataflow, reducing processing time by 45% and increasing throughput. Integrated AI features using React, Next.js, TypeScript, and LangChain, improving API response times and user engagement.
Software Engineer Intern
Intel Corporation | Jan 2023 - May 2023
Engineered a high-throughput data pipeline for real-time iGPU performance analysis. Developed an interactive analytical dashboard for rapid visualization of key performance metrics.
Research Assistant/Data Engineer
Center of Urban Science and Progress, NYU | Jun 2022 - Dec 2022
Developed scalable ETL pipelines and optimized data storage solutions on AWS. Created interactive dashboards and automated data pipelines for sentiment analysis and topic modeling.
PROJECT BOARD
AI Hawk (Open-Source)
Built a CLI with Python to automate and streamline the job application process, and utilized OpenAI's GPT-4 API to develop a tool that automatically tailors resumes to match specific job descriptions.
Highlight: 7k+ Stars on GitHub
Position: Contributor
Guard Vision
Designed and deployed an end-to-end pipeline that processes video streams in real-time, performs anomaly detection, and triggers alerts for potential security breaches, ensuring timely response and mitigation. Implemented a custom face detection model to enhance the system's ability to identify and authenticate individuals, reducing false positives and improving overall security measures.
Highlight: 12+ users
Position: Team Lead
Precision Agriculture
Implemented a WebRPC service in Go using gRPC for real-time sensor data transmission, improving crop yield by 15% and reducing water usage by 20%. Developed predictive models and statistical analysis in R for irrigation and fertilization schedules, achieving 20% resource optimization.
Highlight: 15+ users
Position: Co-Author
Efficient Resume Indexing Using Deep Learning
Built a system to index resumes based on visual features using ResNet, a custom Transformer, and Vision Transformer models. Implemented FAISS for efficient similarity-based retrieval. Experimented with ResNet and Transformer architectures to fine-tune feature extraction and evaluated retrieval performance using cosine similarity.
Position: Contributor