SWARAJ SHINDE

AI Engineer

https://talent.gravityer.com/swaraj-shinde

AI Engineer with 1+ years in Generative AI & Machine Learning

Pune, Maharashtra, India

Key Strengths

Strong foundational knowledge in Generative AI and LLMs, including RAG, Prompt Engineering, AI Agents, and Fine-tuning.
Practical experience in developing and deploying AI-driven systems, such as Agentic AI expense estimation and RAG-based chatbots.
Proficiency in key AI/ML frameworks and tools like LangChain, HuggingFace Transformers, PyTorch, Scikit-learn, Docker, and MLflow.
Experience with various data science techniques including NLP, Time Series Analysis, Classification, and Regression.
Demonstrated ability to deliver production-ready AI solutions with measurable impact (e.g., 90% reduction in manual effort, 40% reduction in support workload).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a diverse application of AI technologies across different domains (agriculture, customer support, supply chain, computer vision, travel, healthcare). This breadth indicates adaptability and a willingness to explore various problem spaces, which can be a positive for cultural fit in dynamic environments. However, the limited professional experience (less than 1 year) and lack of team-specific project details make it difficult to fully assess collaboration and cultural alignment.

Soft Skills & Operational Fit

The candidate demonstrates strong problem-solving skills through their project work, tackling complex challenges like cost estimation and demand forecasting. Their experience in deploying scalable solutions suggests an understanding of operational requirements. However, without direct assessment data on communication, stress handling, or team collaboration, a comprehensive evaluation of soft skills and operational fit is limited.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational knowledge in Generative AI and LLMs, including RAG, Prompt Engineering, AI Agents, and Fine-tuning.
Practical experience in developing and deploying AI-driven systems, such as Agentic AI expense estimation and RAG-based chatbots.
Proficiency in key AI/ML frameworks and tools like LangChain, HuggingFace Transformers, PyTorch, Scikit-learn, Docker, and MLflow.
Experience with various data science techniques including NLP, Time Series Analysis, Classification, and Regression.
Demonstrated ability to deliver production-ready AI solutions with measurable impact (e.g., 90% reduction in manual effort, 40% reduction in support workload).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

SWARAJ SHINDE

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Key Strengths

Cultural & Operational Fit