Surbhi .

Software Engineer

Pune, Maharashtra, India4 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

3.3 years of experience in GenAI and LLM applications.
Expert in Retrieval-Augmented Generation and semantic search.
Proficient in deploying GenAI services on AWS.

Stackforce AI infers this person is a GenAI specialist with a focus on enterprise AI solutions.

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Skills

Core Skills

Large Language Models (llm)Retrieval-augmented Generation (rag)Semantic Search

Other Skills

LLM OpsGitChromaDBVector Databases (ChromaDB / Pinecone)MicroservicesDockerOpenAIEmbedding ModelsPrompt EngineeringLangChainRAG ArchitectureGEN AIPython (Programming Language)CI/CDREST API Development

About

GenAI Engineer with 3.3 years of hands-on experience building and deploying production-grade LLM applications for enterprise use cases. Specialized in Retrieval-Augmented Generation (RAG), vector databases, and prompt orchestration to deliver accurate, grounded AI responses. Experienced in document ingestion pipelines (SharePoint, PDFs, Excel), semantic search, and multi-turn conversational workflows aligned with enterprise governance. Deployed and scaled GenAI services on AWS (EKS) with CI/CD, monitoring, and security. Immediate joiner | Open to GenAI / LLM Engineer roles.

Experience

4 yrs 5 mos

Total Experience

1 yr 4 mos

Average Tenure

3 mos

Current Experience

Hashedin by deloitte

Software Engineer

Feb 2026 – Present · 3 mos · Pune District, Maharashtra, India · Hybrid

Vois

GenAI Developer

Jan 2025 – Dec 2025 · 11 mos · Pune District, Maharashtra, India · Hybrid

Designed and optimized RAG pipelines using intelligent chunking (300–800 tokens) and metadata tagging to improve retrieval relevance.
Implemented semantic search using vector embeddings and cosine similarity for accurate, grounded responses.
Reduced LLM hallucinations by improving context selection and retrieval precision.
Developed prompt templates and multi-turn conversational flows aligned with enterprise tone and policy governance.
Deployed and scaled GenAI services on AWS EKS with secure secret management and monitoring.

LLM OpsSemantic SearchGitChromaDBVector Databases (ChromaDB / Pinecone)Large Language Models (LLM)+15

Hcltech

2 roles

GenAI Developer

Apr 2024 – Jan 2025 · 9 mos

Built an on-prem LLM chatbot using Ollama for secure enterprise use cases.
Integrated vector embeddings to improve semantic search accuracy for internal product catalogs.
Designed controlled prompt flows to ensure safe and reliable AI responses.

Semantic SearchVector DBRetrieval-Augmented Generation (RAG)Large Language Models (LLM)AI AutomationPostgreSQL+7

Graduate Engineering Trainee

Oct 2022 – Apr 2024 · 1 yr 6 mos

Worked on early-stage AI-assisted application features using Large Language Models (LLMs).
Assisted in building document-based question-answering systems using embeddings and semantic search concepts.
Participated in developing prompt-driven workflows for extracting insights from enterprise documents.
Supported integration of AI-generated responses into internal tools and dashboards.
Gained hands-on exposure to GenAI fundamentals including embeddings, retrieval concepts, and LLM behavior.

Python (Programming Language)GEN AISemantic SearchRetrieval-Augmented Generation (RAG)