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I am Varun N, a Senior AI/ML engineer and Python developer with 10+ years building scalable, AI-driven platforms. I design agentic LLM fine-tuning and autonomous decision-making systems, focusing on behavioral policies, evaluation harnesses, RLHF, and strict domain constraints. I thrive on turning complex ML insights into robust, production-grade solutions that balance performance with safety and governance. My work spans end-to-end LLM tuning on Vertex AI, production RAG systems, retrieval pipelines, and robust guardrails to reduce hallucinations and enforce symbolic safety checks in real-time workloads. I’m proficient at building high-throughput microservices (FastAPI, gRPC), cloud-native data pipelines, and cross-functional collaboration with executives, regulators, and product teams to deliver measurable business impact.…I am Varun N, a Senior AI/ML engineer and Python developer with 10+ years building scalable, AI-driven platforms. I design agentic LLM fine-tuning and autonomous decision-making systems, focusing on behavioral policies, evaluation harnesses, RLHF, and strict domain constraints. I thrive on turning complex ML insights into robust, production-grade solutions that balance performance with safety and governance. My work spans end-to-end LLM tuning on Vertex AI, production RAG systems, retrieval pipelines, and robust guardrails to reduce hallucinations and enforce symbolic safety checks in real-time workloads. I’m proficient at building high-throughput microservices (FastAPI, gRPC), cloud-native data pipelines, and cross-functional collaboration with executives, regulators, and product teams to deliver measurable business impact.

Varun N

AI Engineer, Data Scientist, AI Developer, +2

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I am Varun N, a Senior AI/ML engineer and Python developer with 10+ years building scalable, AI-driven platforms. I design agentic LLM fine-tuning and autonomous decision-making systems, focusing on behavioral policies, evaluation harnesses, RLHF, and strict domain constraints. I thrive on turning complex ML insights into robust, production-grade solutions that balance performance with safety and governance. My work spans end-to-end LLM tuning on Vertex AI, production RAG systems, retrieval pipelines, and robust guardrails to reduce hallucinations and enforce symbolic safety checks in real-time workloads. I’m proficient at building high-throughput microservices (FastAPI, gRPC), cloud-native data pipelines, and cross-functional collaboration with executives, regulators, and product teams to deliver measurable business impact.…I am Varun N, a Senior AI/ML engineer and Python developer with 10+ years building scalable, AI-driven platforms. I design agentic LLM fine-tuning and autonomous decision-making systems, focusing on behavioral policies, evaluation harnesses, RLHF, and strict domain constraints. I thrive on turning complex ML insights into robust, production-grade solutions that balance performance with safety and governance. My work spans end-to-end LLM tuning on Vertex AI, production RAG systems, retrieval pipelines, and robust guardrails to reduce hallucinations and enforce symbolic safety checks in real-time workloads. I’m proficient at building high-throughput microservices (FastAPI, gRPC), cloud-native data pipelines, and cross-functional collaboration with executives, regulators, and product teams to deliver measurable business impact.

Available to hire

I am Varun N, a Senior AI/ML engineer and Python developer with 10+ years building scalable, AI-driven platforms. I design agentic LLM fine-tuning and autonomous decision-making systems, focusing on behavioral policies, evaluation harnesses, RLHF, and strict domain constraints. I thrive on turning complex ML insights into robust, production-grade solutions that balance performance with safety and governance.

My work spans end-to-end LLM tuning on Vertex AI, production RAG systems, retrieval pipelines, and robust guardrails to reduce hallucinations and enforce symbolic safety checks in real-time workloads. I’m proficient at building high-throughput microservices (FastAPI, gRPC), cloud-native data pipelines, and cross-functional collaboration with executives, regulators, and product teams to deliver measurable business impact.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Fidelity Investments

November 1, 2024 - Present

Designed behavioral policies and reward functions for Gemini-powered autonomous portfolio agents; built RLHF fine-tuning pipelines on Vertex AI Model Garden for ~12,000 annotated analyst conversations; developed a retrieval-augmented generation knowledge assistant grounding answers with internal documents, citing sources, and reducing hallucinations; built a multi-objective evaluation harness for risk-adjusted performance; implemented a rule-based fallback with symbolic risk constraints; deployed microservices with FastAPI/gRPC and near-100ms responses under load; containerized on GKE with observability; mentored four junior ML engineers.

ML Engineer at RxSense

February 1, 2023 - October 1, 2024

Designed a medication-safety evaluation framework; fine-tuned Gemini 1.5 Flash with pharmacist preferences; integrated symbolic contraindication graphs; built a RAG pipeline over drug monographs and formulary files with a Pinecone index and LlamaIndex retrieval; added OCR/ layout-detection to extract drug data from labels, boosting extraction accuracy; implemented bootstrap uncertainty estimation and caching; exposed REST and FHIR-compliant endpoints via FastAPI.

Machine Learning & LLM Engineer | Senior Python Developer at Walmart

March 1, 2020 - January 31, 2023

Fine-tuned Sentence-BERT embeddings for semantic similar-item retrieval and built FAISS-based nearest-neighbor indexing; developed demand-elasticity models with scikit-learn/XGBoost on Spark-processed data; engineered scalable data pipelines on AWS EMR; deployed inference APIs with Redis caching; implemented JWT authentication and a versioned REST client library; containerized workloads on EKS with Terraform-managed pipelines; established CI/CD workflows.

Machine Learning Engineer at North Carolina Department of Transportation

July 1, 2018 - February 29, 2020

Rebuilt legacy Perl batch systems into real-time Python/cloud pipelines feeding incident-detection and anomaly-detection models on public traffic data; built models to flag crashes, stalls, and abnormal congestion; created feature pipelines from detector data to a data lake with AWS Glue catalog and Parquet; streamed detector events via Kinesis; mapped incidents to road segments with GeoPandas/PostGIS; designed Airflow DAGs with Great Expectations checks; exposed models and metrics via Flask endpoints; Dockerized and Kubernetes-orchestrated deployments; implemented Terraform-based IaC; built simulators to stress-test reasoning across scenarios.

Full-Stack Software Engineer at Dell Technologies

July 1, 2013 - July 31, 2016

Built Python scripts querying iLO/iDRAC to capture firmware inventory across ~1,500 servers; automated BIOS/firmware updates with Ansible; developed a full-stack monitoring web app (Flask backend with HTML/JS frontend); containerized with Docker on AWS ECS Fargate; automated Jenkins pipelines with static analysis and image scanning; delivered fleet health dashboards with Grafana; migrated inventory collection from SSH/IPMI to RACADM/iDRAC; implemented parallelized scans using Celery and RabbitMQ.