Available to hire
Hi, I’m Kunal Singh Rajpurohit, a passionate AI Engineer and software developer with a strong foundation in computer science and mining engineering. I love building and deploying sophisticated AI systems, from autonomous AI agents to real-time deep learning applications. My experience spans across working with modern frameworks, AI models, and scalable cloud deployments.
I enjoy solving complex problems by blending AI with software development best practices, and I’m always eager to learn the latest technologies. Whether it’s improving automation by leveraging GPT-4 or developing innovative ML pipelines, I’m committed to creating impactful tech solutions with efficiency and precision.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Hindi
Fluent
Japanese
Beginner
Amharic
Advanced
Bashkir
Advanced
Work Experience
Member of Technical Staff at Select, Inc.
March 1, 2025 - PresentDesigned and deployed a fully autonomous AI Agent leveraging LangChain, Playwright, GPT-4, and Chrome DevTools Protocol (CDP) to scrape and understand project listings, initiate job applications, handle real-time recruiter interactions via smart prompt chaining, and complete assignments. Achieved 82% task automation rate and reduced manual involvement by 70 hours/month. Integrated Node.js microservices, Redis queues, and MongoDB for scalable workflow management. Used WebSockets and Event-Driven Architecture to maintain persistent communication pipelines with job platforms. Embedded feedback loops using Reinforcement Learning from Human Feedback (RLHF) to improve conversation handling and delivery accuracy. Orchestrated end-to-end CI/CD pipelines via GitHub Actions, Docker, and Kubernetes for production-grade deployment.
AI Engineer at BeMap, Inc.
July 31, 2024 - August 4, 2025Developed an end-to-end deep learning pipeline using Bidirectional LSTM networks and advanced time-series feature engineering for real-time elderly presence detection from smart meter data, achieving 96.45% accuracy in live simulations. Built and fine-tuned a Variational Autoencoder (VAE) for unsupervised anomaly detection, leveraging KL-divergence minimization to reduce reconstruction loss by 32%, improving system resilience against power signal noise and irregular patterns. Deployed containerized ML services on AWS (EC2) using Docker, orchestrated production workflows with GitHub Actions CI/CD, and integrated Grafana for real-time MLOps monitoring and performance degradation alerts.
Member of Technical Staff at Select, Inc.
March 1, 2025 - PresentDesigned and deployed a fully autonomous AI Agent leveraging LangChain, Playwright, GPT-4, and Chrome DevTools Protocol (CDP) to scrape and understand project listings, initiate job applications, handle real-time recruiter interactions via smart prompt chaining, and complete assignments. Achieved 82% task automation rate and reduced manual involvement by 70 hours/month. Integrated Node.js microservices, Redis queues, and MongoDB for scalable workflow management. Used WebSockets and Event-Driven Architecture to maintain persistent communication pipelines with job platforms. Embedded feedback loops using Reinforcement Learning from Human Feedback (RLHF) to improve conversation handling and delivery accuracy. Orchestrated end-to-end CI/CD pipelines via GitHub Actions, Docker, and Kubernetes for production-grade deployment.
AI Engineer at BeMap, Inc.
July 31, 2024 - August 4, 2025Developed an end-to-end deep learning pipeline using Bidirectional LSTM networks and advanced time-series feature engineering for real-time elderly presence detection from smart meter data, achieving 96.45% accuracy in live simulations. Built and fine-tuned a Variational Autoencoder (VAE) for unsupervised anomaly detection, leveraging KL-divergence minimization to reduce reconstruction loss by 32%, improving system resilience against power signal noise and irregular patterns. Deployed containerized ML services on AWS (EC2) using Docker, orchestrated production workflows with GitHub Actions CI/CD, and integrated Grafana for real-time MLOps monitoring and performance degradation alerts.
Education
Bachelor of Technology at National Institute of Technology Karnataka (NITK)
July 1, 2021 - June 30, 2025Bachelor of Technology at National Institute of Technology Karnataka (NITK) Surathkal
July 1, 2021 - June 30, 2025Qualifications
Crash Course on Python (Basics of Python Programming)
January 1, 2023 - December 31, 2023Google Data Analytics (Spreadsheets, SQL, Tableau, R Programming)
January 1, 2023 - December 31, 2023Machine Learning Summer Mentorship Program, ISTE NITK Chapter
January 1, 2023 - December 31, 2023Crash Course on Python (Basics of Python Programming)
January 1, 2021 - December 31, 2021Google Data Analytics (Spreadsheets, SQL, Tableau, R Programming)
January 1, 2021 - December 31, 2021Machine Learning Summer Mentorship Program, ISTE NITK Chapter
January 1, 2021 - December 31, 2021Industry Experience
Software & Internet, Computers & Electronics, Energy & Utilities, Financial Services, Education, Agriculture & Mining
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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