Noida, Uttar Pradesh, India
I am an Artificial Intelligence Engineer with expertise in Agentic systems, Large language models (LLMs), Vision language models (VLMs), Generative AI, and Machine Learning. Skilled in Python, FastAPI, RESTful APIs, and cloud platforms like AWS, Azure and GCP. I design and develop scalable Agentic architectures that help in solving complex financial use cases.
Design and develop production Agentic systems for banking, fintech, and enterprise automation use cases. Build AI workflow orchestration flows using agent-based architectures which include tool calling patterns, state management, guardrails, and controlled execution logic. Work on document intelligence solutions including OCR pipelines, document type detection, structured JSON extraction, field validation, and cross document verification. Develop backend APIs and business automation services for loan onboarding, document verification, extraction workflows, and AI driven decision support. Implement async processing, queue based execution, error handling and exception management to improve system reliability. Integrate AI/ML models with backend services for extraction, validation, fraud checks, document comparison, and intelligent workflow automation. Work with cloud platforms, LangGraph, LangChain, AutoGen, API integrations, WebSocket-based dialogue flows, and production deployment workflows. Contribute to observability and monitoring using tracing, metadata logging, request tracking, and debugging improvements across AI services. Focus on production readiness of AI systems by improving context handling, response validation, hallucination control, latency management, and fallback strategies.
As a Generative AI Engineer at SSR Fintech, I specialize in developing advanced analytical applications within SAP. My role includes designing a financial forecasting application leveraging SAP BTP (Business Technology Platform) and BAS (Business Application Studio). Utilizing SARIMA, AutoARIMA, and XGBoost, I implement cutting-edge AI and machine learning techniques to deliver accurate financial predictions and business insights. I also collaborate on integrating AI-driven solutions into SAP's ecosystem, enhancing efficiency and decision-making for financial operations.
Engineered robust data integration scripts for Excel, DOCX, and PDF formats using advanced loaders and parsers. Implemented Google Generative AI embeddings and FAISS vector store for high-efficiency document retrieval and similarity search. Designed and optimized NLP pipelines for extracting and processing unstructured data, enhancing query accuracy. Integrated state-of-the-art AI models, including OpenAI's GPT-4, via RESTful APIs to augment system capabilities and performance. Developed automated retrieval systems to rank and extract relevant documents, utilizing RESTful APIs for seamless component interaction and data handling.
Developed a website URL classification model by integrating Support Vector Machine (SVM), web scraping libraries like Beautiful Soup, and NLP techniques, achieving a commendable 92% accuracy contributing to enhanced web content analysis