Open to opportunities

Vijay Bhaskar

@vijaybhaskar4

Message

Lead AI architect specializing in Generative AI, ML systems, and production deployments.

United States

Message

What I'm looking for

I seek senior AI/ML roles building production GenAI and ML systems with strong MLOps, cross-functional collaboration, and ethical/ explainable AI practices.

I am a Lead Software Architect with 15+ years designing, developing, and deploying AI and ML solutions across finance, healthcare, and enterprise domains. I combine hands-on model development with systems architecture to deliver production-grade AI: from LLMs, RAG, and LangChain to computer vision and reinforcement learning.

I have built end-to-end pipelines and deployed models on AWS, Azure, and GCP, automated CI/CD for ML using Kubernetes, Terraform, MLFlow, and Kubeflow, and optimized solvers with Gurobi and OR-Tools for large-scale optimization tasks. My work has improved inference latency, enabled edge AI, and integrated agentic AI and Microsoft Copilot into business workflows.

I collaborate closely with product owners, data engineers, and researchers to embed ethical AI, explainability (LIME, SHAP), and reproducibility into production systems, while mentoring engineers and delivering measurable business impact through automation, optimization, and tailored GenAI solutions.

Experience

Work history, roles, and key accomplishments

Current

Lead Software Architect - AI

Current

HD Supply

Jun 2022 - Present (3 years 8 months)

Led design and deployment of agentic GenAI and optimization solutions for lab and financial workflows, reducing inference latency by 30% and automating decision workflows with Copilot integrations and scalable cloud pipelines.

Python PyTorch TensorFlow AWS Sagemaker Kubeflow Gurobi Kafka Docker Kubernetes

Solution Architect – AI

Fidelity Investments

Oct 2019 - May 2022 (2 years 7 months)

Architected and deployed real-time ML and Edge AI solutions for programmatic ad bidding and compliance, improving ad response time by 20% and increasing bidding efficiency via Bayesian hyperparameter tuning.

TensorFlow PyTorch XGBoost Kafka BigQuery Docker Kubernetes AutoML SHAP

Sr. Software Developer

Boeing

Oct 2017 - Sep 2019 (1 year 11 months)

Developed AI-powered recommendation engines and microservices for customer-facing applications, deployed ML models on AWS and optimized GPU clusters for production inference and throughput.

Python Django TensorFlow AWS EC2 S3 React REST APIs Jenkins SQL

Software Developer

Cardinal Health

Mar 2016 - Oct 2017 (1 year 7 months)

Built ML-driven fleet management and predictive maintenance systems, creating scalable data pipelines and secure APIs while ensuring HIPAA-compliant handling of biomedical data.

Python Django scikit learn Kafka AWS Lambda Docker PostgreSQL React gRPC

Software Developer

Tesla

Aug 2014 - Mar 2016 (1 year 7 months)

Implemented full-stack Python/Django solutions for manufacturing quality and monitoring, led MySQL migration efforts and managed model deployment lifecycles with A/B testing and rollback strategies.

Python Django MySQL JavaScript Junit Flask TensorFlow DevOps AWS EC2

Software Developer

State of New York

Jul 2011 - Aug 2014 (3 years 1 month)

Developed Python ETL workflows and automated data ingestion pipelines using Requests, SQLAlchemy, and Pandas to integrate diverse data sources into data warehouses with robust error handling.

Python SQLAlchemy Pandas Psycopg2 ETL REST APIs Data Warehousing JSON Scripting

Software Developer

Ascensia Diabetes

Sep 2008 - Jul 2011 (2 years 10 months)

Collaborated with data scientists to design Python-driven data solutions and integrated cloud storage for secure management of analytical datasets supporting diabetes research.