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Hi, I'm Yash, a Full Stack Python and AIML Engineer with several years of experience designing, developing, and deploying scalable AI solutions across finance, healthcare, and IT infrastructure. I specialize in building GenAI applications, optimizing LLM pipelines, and architecting enterprise-grade MLOps platforms. I'm passionate about driving enterprise AI innovation and building reliable, privacy-conscious infrastructure for GenAI applications. I have hands-on experience with frameworks like LangChain, LlamaIndex, and vector databases such as FAISS and Pinecone. I've led production deployments using Docker, Kubernetes, Kafka, SageMaker, and EMR. Collaborating across cross-functional teams, I turn complex business problems into intelligent solutions powered by modern LLMs and robust architectures.…Hi, I'm Yash, a Full Stack Python and AIML Engineer with several years of experience designing, developing, and deploying scalable AI solutions across finance, healthcare, and IT infrastructure. I specialize in building GenAI applications, optimizing LLM pipelines, and architecting enterprise-grade MLOps platforms. I'm passionate about driving enterprise AI innovation and building reliable, privacy-conscious infrastructure for GenAI applications. I have hands-on experience with frameworks like LangChain, LlamaIndex, and vector databases such as FAISS and Pinecone. I've led production deployments using Docker, Kubernetes, Kafka, SageMaker, and EMR. Collaborating across cross-functional teams, I turn complex business problems into intelligent solutions powered by modern LLMs and robust architectures.

Yash

Full Stack Developer, AI Engineer, AI Developer, +2

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Hi, I'm Yash, a Full Stack Python and AIML Engineer with several years of experience designing, developing, and deploying scalable AI solutions across finance, healthcare, and IT infrastructure. I specialize in building GenAI applications, optimizing LLM pipelines, and architecting enterprise-grade MLOps platforms. I'm passionate about driving enterprise AI innovation and building reliable, privacy-conscious infrastructure for GenAI applications. I have hands-on experience with frameworks like LangChain, LlamaIndex, and vector databases such as FAISS and Pinecone. I've led production deployments using Docker, Kubernetes, Kafka, SageMaker, and EMR. Collaborating across cross-functional teams, I turn complex business problems into intelligent solutions powered by modern LLMs and robust architectures.…Hi, I'm Yash, a Full Stack Python and AIML Engineer with several years of experience designing, developing, and deploying scalable AI solutions across finance, healthcare, and IT infrastructure. I specialize in building GenAI applications, optimizing LLM pipelines, and architecting enterprise-grade MLOps platforms. I'm passionate about driving enterprise AI innovation and building reliable, privacy-conscious infrastructure for GenAI applications. I have hands-on experience with frameworks like LangChain, LlamaIndex, and vector databases such as FAISS and Pinecone. I've led production deployments using Docker, Kubernetes, Kafka, SageMaker, and EMR. Collaborating across cross-functional teams, I turn complex business problems into intelligent solutions powered by modern LLMs and robust architectures.

Available to hire

Hi, I’m Yash, a Full Stack Python and AIML Engineer with several years of experience designing, developing, and deploying scalable AI solutions across finance, healthcare, and IT infrastructure. I specialize in building GenAI applications, optimizing LLM pipelines, and architecting enterprise-grade MLOps platforms. I’m passionate about driving enterprise AI innovation and building reliable, privacy-conscious infrastructure for GenAI applications.

I have hands-on experience with frameworks like LangChain, LlamaIndex, and vector databases such as FAISS and Pinecone. I’ve led production deployments using Docker, Kubernetes, Kafka, SageMaker, and EMR. Collaborating across cross-functional teams, I turn complex business problems into intelligent solutions powered by modern LLMs and robust architectures.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Full Stack Python/AIML Engineer at Goldman Sachs

March 1, 2023 - Present

Designed and developed a real-time financial analytics platform for low-latency transaction processing and decision support. Built modular Python microservices supporting LLM interactions and RAG workflows, deployed on Kubeflow Kubernetes. Developed ML pipelines using PyTorch and Spark for anomaly detection and risk analysis. Integrated GenAI models such as GPT-4 for anomaly explanation and case summarization. Established scalable MLOps pipelines on GCP Vertex AI, enabling continuous training and deployment. Created LLM-based natural language interfaces using LangChain and FAISS. Orchestrated ML services in Docker and Kubernetes with secure architecture following internal compliance. Automated CI/CD pipelines with GitHub Actions and Jenkins for efficient deployments. Delivered technical documentation and ensured ML governance and performance optimizations.

Python/AIML Developer at Pfizer

July 31, 2022 - July 18, 2025

Developed an AI-powered Clinical Trial Optimization Platform harnessing ML, LLMs, and MLOps for protocol design, patient recruitment, and trial monitoring. Implemented prompt pipelines, vector embeddings, and retrieval augmentation to enhance clinical decision support. Built interactive React dashboards for AI classification and radiologist support. Orchestrated Vertex AI pipelines with Cloud Functions and BigQuery integration. Delivered containerized FastAPI and Flask microservices on Kubernetes for scalable, secure ML services. Leveraged GPT-3 and domain Transformers with FAISS vector search for semantic retrieval over clinical data. Maintained privacy-compliant architecture in HIPAA-regulated environments. Automated CI/CD workflows and monitored model health integrating Prometheus and Grafana. Collaborated with clinicians and data scientists in Agile to refine models and features.

Software Engineer at Accenture

June 30, 2020 - July 18, 2025

Developed RESTful APIs and backend services in Python for banking applications focused on transaction processing and data automation. Built predictive maintenance models using TensorFlow and PyTorch with deployment for real-time inference. Leveraged AWS infrastructure including S3, EC2, and RDS for scalable, secure data storage and processing. Created a React.js IT operations dashboard with Redux for real-time system monitoring and predictive alerts. Designed optimized database schemas for PostgreSQL, MySQL, and MongoDB to handle structured and unstructured financial data. Used Docker and Kubernetes for containerization and orchestration of banking applications. Implemented automated testing with PyTest and CI/CD pipelines using GitHub Actions to enhance deployment quality and efficiency.