Specializing in computer vision, NLP, and production ML systems. Experienced in deploying scalable AI solutions with PyTorch, TensorFlow, and cloud-native architectures.
AI Engineer with expertise in computer vision, NLP, and deploying scalable ML systems. Proficient in PyTorch, TensorFlow, and production-grade frameworks (FastAPI, Docker, Kubernetes). Skilled in building end-to-end pipelines—from model training and optimization to cloud deployment (AWS, GCP, Azure). Strong foundation in Python, data engineering, and MLOps practices including CI/CD, model versioning, and monitoring.
Currently
AI Engineer @ Geeky Bee AI Pvt. Ltd.
Jan 2025 – Present · Pune, India
Geeky Bee AI Pvt. Ltd.
Symbiosis Centre for Applied Artificial Intelligence
Anyology Specialty Services Pvt. Ltd.
Deep learning model for nucleolar organizer region detection in microscopy images. Implemented U-Net architecture with data augmentation, achieving high precision for cancer diagnosis support.
Custom YOLO-based detection pipeline for real-time applications. Optimized for edge deployment with TensorRT, achieving 90%+ mAP at 60+ FPS on retail datasets.
Production-ready sentiment classifier using BERT fine-tuned on domain-specific data. Deployed as FastAPI microservice with Docker, processing 100K+ requests/day at 87% accuracy.
Research project combining retinal imaging with clinical data for disease prediction. Hybrid fusion architecture improved AUC by 8% over single-modality baselines.
Unified Python interface for multiple LLM providers (OpenAI, Anthropic, Cohere). Simplifies prompt engineering and model switching for production applications.
DeepLab v3+ implementation for urban scene understanding. Deployed on edge devices with model quantization, achieving real-time performance with minimal accuracy loss.
B.Tech in AI & Machine Learning
Exchange Semester
I'm open to new opportunities. If you have a project in mind or just want to connect, reach out.