Engineer. Builder. Shipper.
AI Developer building scalable, production-grade systems — currently at Delhivery. Previously at InteligenAI, including Spector.AI, where I built MCP-orchestrated agent frameworks, document intelligence pipelines, and vision systems across AWS, Azure, and GCP.
I work across NLP, computer vision, and ML — multi-agent reasoning with LangGraph, RAG with hybrid retrieval, document classification over 500K+ records at 99% accuracy, and vision models with YOLO, SAM, and Gemini. B.Tech ECE'24, HBTU Kanpur · Gurugram, India.
Experiences
Education
Projects
Source Code Converter
Built a source code converter utilizing LLM (Gen AI) and prompt engineering for accurate conversion to a target programming language with conversion accuracy scores. Designed a Streamlit UI for file uploads, function name and target language specs — showcasing final code and accuracy metrics with 90% overall conversion accuracy.
Custom Segmentation Model
Implemented YOLOv8 (SOTA) for object detection and boundary delineation. Leveraged the SAM model for precise semantic segmentation from images, achieving 95% accuracy.
Image Caption Generator
Preprocessed Flickr8K with data cleaning and VGG-16 image feature extraction. Integrated captions and features with LSTM models optimized for effective learning. Evaluated caption accuracy with BLEU scores against human references.
Face Recognition Model
Built a personalized dataset from celebrity images and names for model training. Used OpenCV and Haar Cascade Classifier for face detection, feature extraction, and model building — achieving 80% accuracy.
Skills
Contact
Interested in a conversation? Reach me at srivastavashashank46@gmail.com, +91 84295 48955, or LinkedIn. Download resume ↗