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Hi, I'm Vaibhav Gaikwad, an AI Engineer and Data Scientist specializing in LLM-powered applications, prompt engineering, and fine-tuning for task-specific performance. I design end-to-end GenAI systems—from data pipelines and retrieval to model orchestration, evaluation, and deployment. I’ve delivered production-ready prototypes in Python, TypeScript, TensorFlow, PyTorch, Docker, and cloud platforms like AWS and GCP. I thrive in cross-functional teams, translating complex data into actionable insights and automating manual tasks with AI-driven solutions. My work has reduced reporting delays, improved data quality, and enabled faster, evidence-based decision-making across policy, budget, and product domains.…Hi, I'm Vaibhav Gaikwad, an AI Engineer and Data Scientist specializing in LLM-powered applications, prompt engineering, and fine-tuning for task-specific performance. I design end-to-end GenAI systems—from data pipelines and retrieval to model orchestration, evaluation, and deployment. I’ve delivered production-ready prototypes in Python, TypeScript, TensorFlow, PyTorch, Docker, and cloud platforms like AWS and GCP. I thrive in cross-functional teams, translating complex data into actionable insights and automating manual tasks with AI-driven solutions. My work has reduced reporting delays, improved data quality, and enabled faster, evidence-based decision-making across policy, budget, and product domains.

Vaibhav Vikas Gaikwad

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

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Hi, I'm Vaibhav Gaikwad, an AI Engineer and Data Scientist specializing in LLM-powered applications, prompt engineering, and fine-tuning for task-specific performance. I design end-to-end GenAI systems—from data pipelines and retrieval to model orchestration, evaluation, and deployment. I’ve delivered production-ready prototypes in Python, TypeScript, TensorFlow, PyTorch, Docker, and cloud platforms like AWS and GCP. I thrive in cross-functional teams, translating complex data into actionable insights and automating manual tasks with AI-driven solutions. My work has reduced reporting delays, improved data quality, and enabled faster, evidence-based decision-making across policy, budget, and product domains.…Hi, I'm Vaibhav Gaikwad, an AI Engineer and Data Scientist specializing in LLM-powered applications, prompt engineering, and fine-tuning for task-specific performance. I design end-to-end GenAI systems—from data pipelines and retrieval to model orchestration, evaluation, and deployment. I’ve delivered production-ready prototypes in Python, TypeScript, TensorFlow, PyTorch, Docker, and cloud platforms like AWS and GCP. I thrive in cross-functional teams, translating complex data into actionable insights and automating manual tasks with AI-driven solutions. My work has reduced reporting delays, improved data quality, and enabled faster, evidence-based decision-making across policy, budget, and product domains.

Available to hire

Hi, I’m Vaibhav Gaikwad, an AI Engineer and Data Scientist specializing in LLM-powered applications, prompt engineering, and fine-tuning for task-specific performance. I design end-to-end GenAI systems—from data pipelines and retrieval to model orchestration, evaluation, and deployment. I’ve delivered production-ready prototypes in Python, TypeScript, TensorFlow, PyTorch, Docker, and cloud platforms like AWS and GCP.

I thrive in cross-functional teams, translating complex data into actionable insights and automating manual tasks with AI-driven solutions. My work has reduced reporting delays, improved data quality, and enabled faster, evidence-based decision-making across policy, budget, and product domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Research AI Analyst at Syracuse University, USA

July 1, 2015 - Present

Automated Tableau and SQL pipelines, reducing reporting delays by 30% and enabling funding decisions 25% faster. Built validation rules on research datasets, lowering data errors by 20% and improving trust in metrics. Designed interactive dashboards processing 10k+ records, translating complex data into actionable insights for policy and budget planning.

Data Science Researcher at NEXIS Student Labs

May 1, 2025 - October 16, 2025

Engineered ETL workflows for 80+ GB medical datasets, optimizing pipelines that accelerated similarity search queries by 35%. Deployed predictive health-risk models with embedding-based retrieval, enabling real-time classification of patient records. Implemented adaptive drift monitoring with automated thresholds, ensuring reliable performance of deployed models in production.

AI Researcher at HeadOn

August 1, 2024 - October 16, 2025

Fine-tuned BERT & GPT models for meeting summarization, achieving 92% accuracy and replacing manual notetaking. Deployed REST API inference pipelines for real-time use, reducing documentation workload by 40% across distributed teams. Applied reinforcement learning feedback loops with A/B testing, improving output quality and adaptability across meeting contexts.

Data Scientist at NeoSOFT

July 1, 2023 - October 16, 2025

Built clustering, regression, and risk scoring models in Python/SQL, improving forecasting accuracy by 20% for business KPIs. Automated ETL workflows and Power BI dashboards on multi-terabyte datasets, cutting reporting cycles by 30% and scaling weekly analytics. Migrated raw logs into centralized data warehouses (SQL Server & Redshift), improving accessibility and reducing query time by 25%. Analyzed customer datasets, identifying retention drivers that boosted product engagement by 15% and informing marketing strategies. Collaborated with cross-functional teams to define KPIs and standardize reporting metrics, ensuring consistent data-driven decision-making.