Parineeta Borah

AI Engineer

https://www.opentalent.in/parineeta-borah

Key Strengths

Extensive experience in AI/ML, NLP, and LLM-powered applications, including RAG pipelines.
Proficient in Python, SQL, and TypeScript with strong command over various AI/ML frameworks and tools (PyTorch, TensorFlow, Hugging Face, LangChain).
Demonstrated ability to design, deploy, and productionize scalable ML solutions on AWS.
Experience with vector databases (FAISS, ChromaDB, pgvector) and evaluation metrics (RAGAS, BLEU, ROUGE).
Strong background in data processing, information extraction, and automation of ML workflows.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

AI Engineer and Data Scientist with 5+ years of experience designing, developing, and deploying machine learning and AI solutions across NLP, computer vision, document intelligence, and generative AI. Experienced in building production-grade LLM applications, Retrieval-Augmented Generation (RAG) systems, AI-powered automation workflows, and scalable cloud-native solutions on AWS. Proficient in Python, SQL, machine learning frameworks, and modern AI tooling, with hands-on experience taking solutions from concept and experimentation through to production deployment. Passionate about applying AI to solve real-world business challenges, improve operational efficiency, and deliver measurable value to customers and stakeholders.

Skills

API IntegrationAWSAgentic AiGen AIGithubHugging FaceLLM applicationsLLMOps & InfrastructureLangchainLanggraphLangsmithLarge Language Models (Llms)Llm EvaluationLlm Evaluation FrameworksLlm Fine TuningOpenaiRAG (Retrieval-Augmented Gener ation)SQL

Key Strengths

Extensive experience in AI/ML, NLP, and LLM-powered applications, including RAG pipelines.
Proficient in Python, SQL, and TypeScript with strong command over various AI/ML frameworks and tools (PyTorch, TensorFlow, Hugging Face, LangChain).
Demonstrated ability to design, deploy, and productionize scalable ML solutions on AWS.
Experience with vector databases (FAISS, ChromaDB, pgvector) and evaluation metrics (RAGAS, BLEU, ROUGE).
Strong background in data processing, information extraction, and automation of ML workflows.

Cultural Fit Analysis

The candidate has experience in diverse roles and projects, including multilingual translation systems, RAG assistants, and intelligent document processing. This breadth of experience suggests adaptability and a willingness to tackle varied technical challenges. The focus on measurable business impact and efficiency aligns with a performance-driven culture. However, the lack of explicit project diversity beyond AI/ML applications and the absence of team collaboration details in the resume make a deeper cultural fit assessment challenging without further information.

Soft Skills & Operational Fit

The resume highlights a focus on automating workflows, improving efficiency, and delivering measurable business impact, indicating a results-oriented approach. Experience in designing and deploying user-facing frontends (React) suggests an understanding of end-to-end solution delivery. The candidate's experience across different companies and roles (AI Developer, Application Development Senior Analyst, Data Scientist) demonstrates adaptability and a broad operational fit within technical teams.

Parineeta Borah

Key Strengths

About

Skills

Key Strengths

Cultural & Operational Fit