Vivek Kumar Pandey

AI Researcher

Bengaluru, Karnataka, India4 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing AI-driven healthcare solutions.
Proficient in building scalable chatbots and voice agents.
Achieved significant improvements in prediction accuracy and user satisfaction.

Stackforce AI infers this person is a SaaS-focused AI/ML Engineer with expertise in healthcare applications.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningGenerative AiApi DevelopmentSoftware Development

Other Skills

ACPAI AgentsAI-Powered Search InterfacesAIMLAPI IntegrationAPI ManagementAWS EC2 DeploymentAgentic AIAmazon Web Services (AWS)Application Programming Interfaces (API)Automated Test Case GenerationAzure AIAzure AI StudioBERT (Language Model)ChatGPT

About

Currently contributing as an AI/ML Engineer at Test Yantra, focusing on cutting-edge AI innovations, including voice agents, chatbots, and AI-powered search interfaces. Demonstrates expertise in developing automated test case generation solutions tailored for the healthcare sector and other transformative AI-driven applications. Holds an M.Tech in Data Science from SAGE University Bhopal and a B.Tech in Computer Science from the School of Research and Technology. Proficient in leveraging technologies like FastAPI, LangChain, and agentic AI to design and deploy impactful AI systems. Aims to advance organizational goals by creating intelligent, scalable, and efficient AI solutions.

Experience

4 yrs 1 mo

Total Experience

1 yr 7 mos

Average Tenure

10 mos

Current Experience

Test yantra

AI/ML Engineer

Aug 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

Working on cutting-edge AI technologies, including voice agents, chatbots, AI-powered search interfaces, automated test case generation in healthcare, and other innovative AI-driven solutions.

AI AgentsChatbotsAutomated Test Case GenerationAI-Powered Search InterfacesVoice AgentsArtificial Intelligence (AI)+1

Onlygeniuses - build your own it team with niche skills in india

AI/ML Engineer

Jan 2025 – Jul 2025 · 6 mos · Noida, Uttar Pradesh, India · On-site

AI/ML Engineer, specializing in Generative AI Chatbots. My expertise spans across:
✅ FastAPI for efficient API development
✅ LangChain for building powerful AI applications
✅ Vector Databases for intelligent search & retrieval
✅ Agentic AI & Agent Tools for advanced automation
✅ MongoDB for scalable data management
✅ Multi-Modal AI Agents for diverse input processing
✅ AWS EC2 Deployment for robust cloud solutions

FastAPILangChainVector DatabasesAgentic AIMongoDBAWS EC2 Deployment+2

Zerocodehr

2 roles

Senior Software Engineer

Promoted

Aug 2024 – Jan 2025 · 5 mos · Hyderabad, Telangana, India

Developed and optimized machine learning models using Random Forest Algorithm and Linear Regression to enhance the accuracy of data-driven insights for the PayEquity product, resulting in a 25% increase in prediction accuracy.
Optimized datasets and designed workflow-based UI components for a low-code platform, implementing 20+ JavaScript methods that improved logic handling and reduced processing time by 30%.
Managed API integration and development for 4+ partners, including OpenAI and Google Analytics, utilizing a Factory Design Pattern to ensure scalable and maintainable end-to-end solutions from UI to backend. Enhanced UI/UX, resulting in a 25% improvement in user satisfaction.
Validated API and standard data files using Pentaho, ensuring 99.9% data accuracy across multiple systems, reducing errors and integration issues.
Developed and executed 200+ automation test cases for API Management and UMEI products, leveraging knowledge of the product architecture to enhance cross-team functional testing. Improved test coverage by 40%.
Conducted load testing for the Pay for Performance product using K6 (JavaScript), creating end-to-end scripts that successfully handled stress tests for 20 clients. Monitored performance metrics using DataDog, AWS RDS, CloudWatch, and EC2 CPU utilization, identifying and resolving bottlenecks, leading to 20% improved performance stability.
Acted as the first responder for urgent support tickets, achieving a 90% resolution rate within the first 24 hours of ticket submission, ensuring seamless service continuity for critical issues.
Trained and mentored 20 new joiners, providing comprehensive onboarding on product development, backend architecture, and debugging techniques, resulting in 25% faster onboarding time for new hires.

Random Forest AlgorithmLinear RegressionAPI IntegrationLoad TestingData ValidationMachine Learning+1

Software Engineer

Mar 2022 – Jul 2024 · 2 yrs 4 mos · Hyderabad, Telangana, India

Developed and optimized machine learning models using Random Forest Algorithm and Linear Regression to enhance the accuracy of data-driven insights for the PayEquity product, resulting in a 25% increase in prediction accuracy.
Optimized datasets and designed workflow-based UI components for a low-code platform, implementing 20+ JavaScript methods that improved logic handling and reduced processing time by 30%.
Managed API integration and development for 4+ partners, including OpenAI and Google Analytics, utilizing a Factory Design Pattern to ensure scalable and maintainable end-to-end solutions from UI to backend. Enhanced UI/UX, resulting in a 25% improvement in user satisfaction.
Validated API and standard data files using Pentaho, ensuring 99.9% data accuracy across multiple systems, reducing errors and integration issues.
Developed and executed 200+ automation test cases for API Management and UMEI products, leveraging knowledge of the product architecture to enhance cross-team functional testing. Improved test coverage by 40%.
Conducted load testing for the Pay for Performance product using K6 (JavaScript), creating end-to-end scripts that successfully handled stress tests for 20 clients. Monitored performance metrics using DataDog, AWS RDS, CloudWatch, and EC2 CPU utilization, identifying and resolving bottlenecks, leading to 20% improved performance stability.
Acted as the first responder for urgent support tickets, achieving a 90% resolution rate within the first 24 hours of ticket submission, ensuring seamless service continuity for critical issues.
Trained and mentored 20 new joiners, providing comprehensive onboarding on product development, backend architecture, and debugging techniques, resulting in 25% faster onboarding time for new hires.