Manu Dwivedi

Associate Consultant

Gurugram, Haryana, India7 yrs 9 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in cloud consulting and full-stack development.
Proven track record in developing AI-driven solutions.
Strong foundation in Java and Spring Boot for enterprise applications.

Stackforce AI infers this person is a Fintech-focused software engineer with expertise in cloud solutions and AI technologies.

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Skills

Core Skills

PythonGenaiJavaSpring Boot

Other Skills

Amazon BedrockBack-End Web DevelopmentComputer ScienceCore JavaFastAPIJUnitJenkinsJiraLangChainLangfuseRAGVector Databasesgaurdrail

About

Results-driven Senior Associate at Cognizant with 6 years of progressive experience in cloud consulting and full-stack development. Formerly a Cloud Consultant at Deloitte USI, I bring a strong foundation in architecting and implementing robust, scalable, and high-performance solutions. My expertise spans the entire software development lifecycle, with a particular focus on Java, Spring Boot, and Microservices for building resilient enterprise applications. I am passionate about leveraging cutting-edge technologies, including Generative AI, to drive innovation and solve complex business challenges. My background includes designing and implementing intricate system architectures, optimizing application performance, and ensuring seamless integration. I thrive in dynamic environments, collaborating with cross-functional teams to deliver impactful solutions that exceed client expectations. Always eager to learn and adapt to new technologies, I am committed to continuous improvement and contributing to the success of transformative projects.

Experience

Cognizant

Sr Associate - Projects

May 2025 – Present · 10 mos

Developed an advanced AI-powered fraud detection system. This is a critical initiative that will leverage the power of artificial intelligence to protect customers and enhance the security of financial transactions.
The work will involve a modern and powerful tech stack, including:
Python: The core of our development, known for its versatility and robust ecosystem.
Langfuse: To provide observability and analytics for our large language model (LLM) applications, ensuring we can debug and iterate quickly.
RAG (Retrieval-Augmented Generation): To ground our models with up-to-date and relevant information, preventing hallucinations and ensuring factual accuracy.
Vector Databases: The engine behind our semantic search capabilities, enabling us to efficiently store and retrieve vast amounts of data for real-time analysis.
FastAPI: To build high-performance, asynchronous APIs that can handle the high volume of real-time data required for fraud detection.

PythonLangfuseRAGVector DatabasesFastAPIGenAI+3