Sargam Tripathi

Rajiv Gandhi Institute Of Petroleum Technology,Rae Bareli

Jhānsi, Uttar Pradesh, India

Since April 21, 2026

About

I have practical experience building GenAI systems, including a multimodal RAG pipeline that uses local LLMs, FAISS-based retrieval, and FastAPI deployment. I have worked with transformer-based models, embeddings, and cross-encoder reranking to improve retrieval accuracy and speed in real-world applications. I am especially interested in designing and scaling LLM-powered systems for production use, and I would love to contribute while learning from your team.

Skills

Llm Fine TuningLLM applicationsLlmsAi MlLlm IntegrationAi ResearchRag SystemsLlm ArchitecturesFrontendData AnalysisStatistical Analysis

Education

Rajiv Gandhi Institute Of Petroleum Technology,Rae Bareli

B.Tech · Mathematics and Computing

July 13, 2023 – April 14, 2027

Key Strengths

Demonstrated deep understanding and practical experience with RAG pipelines, LLM APIs (Ollama, OpenAI), and vector databases (FAISS) through advanced projects.
Proficiency in multimodal document processing (Docling, PaddleOCR, VLM integration) highly relevant for LLM Engineer roles.
Strong foundational MLOps skills including FastAPI, Docker, MLflow, AWS (S3, EC2), and GCP (Vertex AI) for deploying and managing ML/LLM systems.
Ability to build end-to-end ML pipelines, including feature selection, anomaly detection, forecasting, and rigorous evaluation.
Solid academic background in Mathematics and Computing with strong achievements in DSA and competitive programming, indicating strong problem-solving abilities.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 254/500 (50.8%) indicates significant areas for development in cultural fit aspects such as logical reasoning, work attitude, stress handling, and team collaboration. This score is below average and suggests potential challenges in adapting to a collaborative and demanding work environment, which is critical for a senior role, without further development or assessment.

Soft Skills & Operational Fit

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated deep understanding and practical experience with RAG pipelines, LLM APIs (Ollama, OpenAI), and vector databases (FAISS) through advanced projects.
Proficiency in multimodal document processing (Docling, PaddleOCR, VLM integration) highly relevant for LLM Engineer roles.
Strong foundational MLOps skills including FastAPI, Docker, MLflow, AWS (S3, EC2), and GCP (Vertex AI) for deploying and managing ML/LLM systems.
Ability to build end-to-end ML pipelines, including feature selection, anomaly detection, forecasting, and rigorous evaluation.
Solid academic background in Mathematics and Computing with strong achievements in DSA and competitive programming, indicating strong problem-solving abilities.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit