PRASHANT MISHRA

AI Researcher

Bengaluru, Karnataka, India6 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed LLM-powered enterprise applications for Google.
Built scalable RAG pipelines for Amazon, reducing hallucinations by 40%.
Implemented advanced prompt engineering for Goldman Sachs, improving relevance by 25%.

Stackforce AI infers this person is a Senior AI Engineer with expertise in Generative AI and enterprise solutions across multiple industries.

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Skills

Core Skills

Generative AiCloud ArchitectureModel DevelopmentData ScienceFull-stack DevelopmentMachine Learning

Other Skills

Programming LanguagesPythonAWSLangChainLangGraphVector DatabasesKubernetesHigh-Level DesignSystems DesignDesign PatternsMicroservicesAI Model IntegrationPrompt EngineeringLLMPHP

About

Senior AI Engineer specializing in building scalable enterprise AI systems, production-ready Generative AI solutions, and robust backend architectures. Throughout my career at premier consulting and technology service firms, I have engineered high-impact, high-throughput solutions directly for elite global product leaders, including: Big Tech: Google (Cloud AI workflows), Amazon / AWS (Enterprise GenAI) FinTech & Healthcare: Goldman Sachs (Core Financial Microservices), Oracle Healthcare / Cerner Life Sciences & Enterprise: Bayer (NLP & Deep Learning), DuPont (Predictive Optimization) Core Expertise: Generative AI & LLMs | Retrieval-Augmented Generation (RAG) | LangChain & LangGraph | Vector Databases | Python & Java Microservices | Cloud Native Infrastructure (AWS, Docker, CI/CD)

Experience

6 yrs 9 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 8 mos

Current Experience

Hitachi

Senior AI Engineer

Oct 2024 – Present · 1 yr 8 mos · Bangalore · On-site

Key Clients Deployment:Scalable Architecture for Fortune 500 Clients
Google Cloud AI Engagements: Designed and deployed LLM-powered enterprise applications, integrating complex data layers to enhance knowledge retrieval accuracy by ~35%.
Amazon Enterprise Solutions: Built scalable RAG pipelines using LangChain, LangGraph, and vector databases, reducing system hallucinations by ~40% for high-scale enterprise applications.
Performance Engineering: Optimized inference latency by ~30% through advanced techniques like prompt optimization, prompt caching, and semantic routing.
Cloud Architecture: Deployed production AI services on AWS with Docker-based CI/CD pipelines, achieving 99.9% service availability.

Programming LanguagesGenerative AICloud Architecture

Quantiphi

Senior Software Engineer(AI)

Jun 2023 – Oct 2024 · 1 yr 4 mos · Banglore · On-site

Key Clients Portfolio: Cross-Functional Engagements with Goldman Sachs, Bayer, and DuPont
Goldman Sachs Projects: Designed and scaled high-throughput microservices supporting AI model integrations and critical financial data feeds, scaling architecture to handle a 2× spike in traffic growth.
Bayer (Life Sciences) Solutions: Implemented advanced prompt engineering and model evaluation strategies, increasing LLM response relevance by ~25% for complex domain data.
DuPont Infrastructure: Built and productionized Generative AI and predictive analytics solutions for global enterprise clients, improving business process automation efficiency by ~45%.
Collaboration: Partnered directly with client-side product managers to deliver robust AI features across multiple high-stakes client engagements.

Model DevelopmentGenerative AIKubernetesHigh-Level DesignSystems DesignDesign Patterns

Cerner corporation

Senior Software Engineer

Aug 2022 – Apr 2023 · 8 mos · Bengaluru · On-site

Core Focus: Enterprise Integration with Oracle Healthcare
Oracle Healthcare Ecosystem: Integrated complex Oracle Cerner healthcare architectures using Java and Python, scaling data ingestion and preprocessing engines to boost data reliability.
Data Pipelines: Developed highly resilient backend services for real-time data ingestion and processing, optimizing downstream analytics and ML training pipelines.
DevOps & Stability: Optimized automated CI/CD pipelines and deployment workflows, significantly reducing production defects and accelerating deployment cycles.

PHPModel DevelopmentData ScienceKubernetesSystems DesignDesign Patterns

Capgemini

2 roles

Data Scientist

Jul 2019 – Aug 2022 · 3 yrs 1 mo

Key Client Deployment: Enterprise Scale Architecture for Fortune 500 Clients
Machine Learning Systems: Successfully applied deep learning and machine learning models (including Random Forest, LSTM, and ARIMA) to solve complex forecasting, pricing, and cognitive document processing puzzles.
Backend & API Architecture: Built scalable, production-grade Java-based backend services supporting 10+ core enterprise modules utilized globally by tier-1 clients.
Computer Vision & Processing: Leveraged Python libraries (Pandas, OpenCV) for complex data validation, image recognition tasks, and statistical validation.
Analytics Support: Supported ML-driven analytics features by exposing highly reliable data APIs, achieving a consistent 99.9% system uptime through robust logging, monitoring, and cloud deployment practices.

JavaFull-Stack DevelopmentLearningFront-End DevelopmentHTML5Programming Concepts+10

Senior Analyst

Jul 2019 – Aug 2022 · 3 yrs 1 mo

Built scalable Java-based backend services supporting 10+ enterprise modules used by global clients. Supported ML-driven analytics features by exposing reliable data APIs. Achieved 99.9% uptime through robust monitoring, logging, and cloud deployment practices.

Programming Languages