Suraj is an AI Developer with a solid background in backend engineering and automation. He has developed various AI-driven applications and platforms, focusing on integrating machine learning models into production systems. His experience spans across multiple domains, including LegalTech and automation, where he has successfully implemented scalable solutions. Suraj is passionate about leveraging AI technologies to improve efficiency and decision-making in various applications.
Designed and implemented a Text-to-SQL reasoning engine allowing users to request complex data insights using natural language.
Developed APIs for experiment management, dataset generation, and benchmarking for ML research teams.
Automated CI/CD workflows using Docker and GitHub Actions, ensuring efficient deployment processes.
Built and maintained vector search pipelines using FAISS and Elasticsearch for semantic retrieval.
Created a Generative AI tool that analyzes website content and automatically generates high-quality ad copies.
Built Trade + Legal RAG + Ad Generator + MediBot + Chat Guard + AI Interviewer + Vector Search
Overview: Developed a scalable AI-driven legal document processing platform that supports OCR, semantic search, and LLM-based query response. Responsibilities: Designed scalable AI backend that processes millions of legal documents for semantic search, OCR, and LLM-based Q&A. Built hybrid semantic search using embeddings + keyword search, improving retrieval relevance significantly.
Overview: Created a Generative AI tool that analyzes website content and automatically generates high-quality ad copies and visuals. Responsibilities: Built domain scraping and content analysis engine for contextual generation. Applied zero-shot and few-shot prompt engineering to boost content quality across multiple ad formats.
Developed a GenAI-Powered Ad Generator that analyzes website content to automatically create high-quality ad copies and visuals. This marketing automation tool employs zero-shot and few-shot prompt engineering to generate contextual ad content across multiple platforms, enhancing marketing efficiency.
Architected the AI MediBot, a multilingual health assistant capable of interpreting user symptoms in over 10 languages. The system supports medical triage and provides LLM-driven automated guidance, ensuring safe and structured medical advice through natural language processing.
Developed the AI Safe Chat Guard, a real-time moderation engine designed to filter harmful or sensitive content across various categories. The system supports large-scale enterprise deployments with low latency, utilizing NLP workflows for effective content categorization and risk scoring.
Suraj
LLM