Building intelligent systems that decode patterns from data — from deep learning architectures to generative AI, delivering scalable ML solutions that create real-world impact.
// sys.profile.load()
I'm Himanshu Bundela, a Machine Learning Engineer with a strong focus on building scalable, production-ready AI systems. My expertise spans across machine learning, deep learning, computer vision, and natural language processing.
With ~3 years of hands-on experience at Scalligent Technologies, TextCK Analytics, and Infosys, I have designed and deployed end-to-end ML pipelines, developed intelligent automation systems, and worked extensively on real-world client-driven solutions.
I specialize in adapting AI systems to evolving business needs — whether it's enhancing a KYC document intelligence system, optimizing NLP pipelines, or integrating ML models into production environments under tight timelines.
I thrive at the intersection of research and engineering — translating cutting-edge ideas into reliable, scalable solutions that deliver measurable impact.
View Full Resume// import expertise from './neural_arsenal'
// git log --career --oneline
// ls -la ~/builds/production/
Full-stack e-commerce platform with an embedded collaborative filtering recommendation engine. Personalized product suggestions using user behavior data, boosting engagement by 35%.
Real-time facial emotion recognition system using CNNs that maps detected emotions to curated Spotify playlists. Combines computer vision and audio feature analysis for holistic mood understanding.
Conditional GAN architecture for generating synthetic CT scan data to augment limited medical datasets. Classification pipeline achieving 92% accuracy in early-stage lung cancer detection.
GAN-based simulation tool that renders how scenes appear to individuals with various forms of color blindness (Deuteranopia, Protanopia, Tritanopia), enabling accessible UI/UX testing.
Intelligent web scraping framework with adaptive parsing logic, anti-bot bypass mechanisms, and structured output schemas. Powers downstream ML pipelines with fresh, clean datasets automatically.
Intelligent analytics dashboard combining time-series forecasting, anomaly detection, and LLM-powered natural language querying for business KPI monitoring in real time.
End-to-end Video KYC solution with real-time face liveness detection, OCR-based document extraction, and NLP-powered identity verification flow deployed on AWS Lambda.
Automated PII redaction tool that detects and masks Aadhaar numbers in scanned documents and PDFs using OCR and regex pattern matching, ensuring UIDAI compliance at scale.
// credentials.verify() → TRUE
//**note this** open_connection("bundelahimanshu372@gmail.com")