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Senior full-stack engineer with 9+ years of experience engineering secure, scalable systems across regulated industries. Specialized in GenAI/agentic AI architectures (LangGraph, LangChain) and advanced RAG pipelines using vector databases to reduce hallucinations and improve internal knowledge retrieval. Built and scaled multi-agent orchestration and production-ready AI services on AWS/GCP Vertex AI, integrating cloud-native data, compute, and observability tooling. Strong end-to-end delivery across MLOps, backend APIs, CI/CD, infrastructure-as-code, and security/compliance practices aligned with enterprise standards.…Senior full-stack engineer with 9+ years of experience engineering secure, scalable systems across regulated industries. Specialized in GenAI/agentic AI architectures (LangGraph, LangChain) and advanced RAG pipelines using vector databases to reduce hallucinations and improve internal knowledge retrieval. Built and scaled multi-agent orchestration and production-ready AI services on AWS/GCP Vertex AI, integrating cloud-native data, compute, and observability tooling. Strong end-to-end delivery across MLOps, backend APIs, CI/CD, infrastructure-as-code, and security/compliance practices aligned with enterprise standards.

Jahanzeb Jahangir

Software Engineer, Full Stack Developer, Back-End Developer, +3

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Senior full-stack engineer with 9+ years of experience engineering secure, scalable systems across regulated industries. Specialized in GenAI/agentic AI architectures (LangGraph, LangChain) and advanced RAG pipelines using vector databases to reduce hallucinations and improve internal knowledge retrieval. Built and scaled multi-agent orchestration and production-ready AI services on AWS/GCP Vertex AI, integrating cloud-native data, compute, and observability tooling. Strong end-to-end delivery across MLOps, backend APIs, CI/CD, infrastructure-as-code, and security/compliance practices aligned with enterprise standards.…Senior full-stack engineer with 9+ years of experience engineering secure, scalable systems across regulated industries. Specialized in GenAI/agentic AI architectures (LangGraph, LangChain) and advanced RAG pipelines using vector databases to reduce hallucinations and improve internal knowledge retrieval. Built and scaled multi-agent orchestration and production-ready AI services on AWS/GCP Vertex AI, integrating cloud-native data, compute, and observability tooling. Strong end-to-end delivery across MLOps, backend APIs, CI/CD, infrastructure-as-code, and security/compliance practices aligned with enterprise standards.

Available to hire

Senior full-stack engineer with 9+ years of experience engineering secure, scalable systems across regulated industries. Specialized in GenAI/agentic AI architectures (LangGraph, LangChain) and advanced RAG pipelines using vector databases to reduce hallucinations and improve internal knowledge retrieval.

Built and scaled multi-agent orchestration and production-ready AI services on AWS/GCP Vertex AI, integrating cloud-native data, compute, and observability tooling. Strong end-to-end delivery across MLOps, backend APIs, CI/CD, infrastructure-as-code, and security/compliance practices aligned with enterprise standards.

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Work Experience

Senior Full-Stack Engineer (AI/ML & Cloud Integrations) at Boston Consulting Group

September 2, 2023 - Present

Worked as senior full-stack engineer focusing on secure, scalable AI/ML systems and cloud integrations. Spearheaded technical discovery and alignment sessions with C-suite stakeholders, translating complex AI capabilities into clear business value and leading cross-functional teams to deliver mission-critical digital transformation projects ahead of schedule.

Technical Skills – Senior Full-Stack Engineer (AI/ML & Cloud Integrations) at Boston Consulting Group (BCG)

September 1, 2023 - Present

Speared technical discovery and alignment sessions with C-suite stakeholders, translating complex AI capabilities into clear business value and leading cross-functional teams to deliver mission-critical digital transformation projects ahead of schedule.

Technical Skills Engineer at Boston Consulting Group (Boston - Remote)

September 1, 2023 - Present

Architected and deployed secure, enterprise-grade GenAI and agentic AI solutions leveraging LangGraph workflows and RAG pipelines. Delivered production systems with AWS/GCP cloud-native services, observability, and compliance-focused security controls. Spearheaded technical discovery and aligned AI initiatives with C-suite stakeholders to translate complex AI capabilities into business value and drive mission-critical digital transformation projects ahead of schedule. Contributed to implementation of AI systems designed for rigorous data privacy standards and enterprise security protocols.

AI/ML Software Engineer (Agentic AI, GenAI Pipelines, RAG) at JPMorgan Chase & Co

April 1, 2018 - August 1, 2023

Architected and deployed enterprise-grade agentic AI pipelines using LangGraph to manage complex, stateful workflows that transformed multi-step business logic into autonomous, self-correcting AI agents. Engineered advanced RAG architectures by integrating LangChain with high-performance vector databases to reduce hallucinations and improve the accuracy of internal knowledge retrieval. Designed and scaled multi-agent orchestration to automate end-to-end data analysis, enabling agents to browse, tool-call, and synthesize reports with minimal human intervention. Optimized LLM performance and cost by deploying models via GCP Vertex AI and AWS Bedrock, implementing prompt versioning and model-switching logic to balance latency and intelligence. Built production-ready AI chatbots using AWS Lambda for serverless execution and S3 for persistent conversation memory. Developed automated data engineering pipelines to streamline ingestion and preprocessing of unstructured data into AI-ready form

Senior Full-Stack Engineer (AI/ML & Cloud Integrations) at JPMorgan Chase

April 1, 2018 - August 31, 2023

Architected and deployed enterprise-grade Agentic AI pipelines at JPMorgan, using LangGraph to manage complex stateful workflows that transformed multi-step business logic into autonomous, self-correcting AI agents. Engineered advanced RAG systems by integrating LangChain with high-performance vector databases, reducing hallucinations and improving retrieval accuracy for internal knowledge systems. Designed and scaled multi-agent orchestration workflows for end-to-end data analysis, enabling agents to browse, tool-call, and synthesize reports with minimal human intervention. Optimized LLM performance and cost by deploying models through GCP Vertex AI and AWS Bedrock, using strategic prompt versioning and model-switching logic to balance latency and intelligence requirements. Built and maintained production-ready AI chatbots using AWS Lambda and S3 for persistent conversation memory. Developed automated data engineering pipelines to ingest and preprocess unstructured data into AI-ready

Senior Full-Stack Engineer (AI/ML & Cloud Integrations) at JPMorgan Chase & Co

April 1, 2018 - August 31, 2023

Architected and deployed enterprise-grade agentic AI pipelines at scale using LangGraph with complex, stateful workflows that turn multi-step business logic into autonomous, self-correcting AI agents. Engineered advanced RAG by integrating LangChain with high-performance vector databases, reducing hallucinations and improving internal knowledge retrieval accuracy. Designed and scaled multi-agent orchestrations for end-to-end data analysis where agents can browse, tool-call, and synthesize reports with minimal human intervention. Optimized LLM performance and cost by deploying models through GCP Vertex AI and AWS Bedrock, including prompt versioning and model-switching logic to balance latency and intelligence requirements. Built and maintained production-ready AI chatbots using AWS Lambda (serverless execution) and S3 for persistent conversation memory. Developed automated data engineering pipelines to streamline ingestion and preprocessing of unstructured data into AI-ready formats us

Backend Developer (Python/Django) at Eli Lilly and Company

June 1, 2015 - April 1, 2018

Developed and tuned ML models for Numerai using Python, TensorFlow, and scikit-learn, applying feature engineering and ensemble methods for signal generation and portfolio risk assessment. Designed quantitative trading algorithms and stacking strategies; automated retraining and inference with Django, PostgreSQL, and AWS Lambda; containerized deployments with Docker and CI/CD and leveraged cloud GPUs to accelerate training. Developed a scalable patient management system (MyGotoDoc) with HIPAA-compliant backend using Python/Django/PostgreSQL. Built and optimized REST APIs integrating third-party EHRs and implemented OAuth2/JWT for access control, tuning database performance. Scaled on AWS (EC2, S3, Lambda) and implemented DevOps with CI/CD, Docker, and Kubernetes while delivering a responsive React/Next.js frontend. Previously built secure, scalable backend solutions for healthcare/pharmaceutical environments using Python and Django, including robust RESTful APIs, database optimizatio

Back-End Developer (Python/Django) at Eli Lilly and Company

June 1, 2015 - April 1, 2018

Developed secure, scalable HIPAA-compliant backend services for MyGoToDoc with Python/Django and PostgreSQL, including REST APIs for scheduling, medical history, and patient-provider interactions. Integrated third-party EHR systems with secured authentication (OAuth2/JWT) and tuned database performance. Scaled on AWS (EC2, S3, Lambda) and implemented CI/CD, Docker, and Kubernetes; supported a responsive React/Next.js frontend. Earlier worked on secure backend solutions for healthcare data platforms in regulated pharmaceutical environments, building robust RESTful APIs for clinical systems and internal tools. Optimized database schemas, indexing strategies, and complex queries for large volumes of medical/research/operational data; implemented modular reusable service components. Established secure authentication and fine-grained role-based access controls aligned to compliance requirements. Automated validation, background processing, and scheduled tasks; investigated production incide