Skip to main content
Sneha

Sneha

Computer Science graduate and AI Engineer with hands-on experience in Generative AI, Large Language Models, Data Analytics, and Business Intelligence

Talent
CoimbatoreMember since July 22, 2026
PythonSQLGenerative AILarge Language Models (LLMs)Prompt EngineeringAI AgentsRAGFastAPINode.jsREST APIsMongoDBPandasNumPyData CleaningData AnalysisPower BIExcelMatplotlibOCRBusiness IntelligenceCloud Deployment
·

Hire this person

Send a job offer directly to this candidate

PythonSQLGenerative AILarge Language Models (LLMs)Prompt Engineering

About

Computer Science graduate and AI Engineer with hands-on experience in Generative AI, Large Language Models, Data Analytics, and Business Intelligence. Skilled in building AI-powered analytics platforms, LLM-based reporting systems, OCR-driven document intelligence, and automated business insight tools using Python, FastAPI, SQL, Power BI, and modern AI/ML technologies.

Experience

AI Engineer (Software Engineer) - Computing Mind Technology - Noida, India

(2026-04)

  • Designed and developed AI-powered analytics and reporting solutions using Large Language Models (LLMs), Prompt Engineering, and Generative AI, converting natural language business queries into automated reports and actionable insights.
  • Integrated Groq API, Llama 3, and OpenAI-compatible models for intent detection, insight generation, and business intelligence workflows, improving query-to-insight turnaround time.
  • Built modular AI agents for dataset analysis, query understanding, chart planning, and automated report generation, streamlining end-to-end analytics pipelines.
  • Developed data processing pipelines for CSV, Excel, PDF, and image-based datasets using Python, Pandas, NumPy, and OCR, enabling multi-format data ingestion.
  • Built AI-powered document verification and KYC automation systems for OCR extraction, fraud detection, and identity validation, reducing manual verification effort.
  • Developed REST APIs and backend services using FastAPI and Node.js for AI integration, MongoDB data persistence, authentication, and cloud deployment; applied RAG concepts and model orchestration across the full AI project lifecycle.

Data Science Intern - Cognifyz Technologies - Remote

(2025-08 - 2025-09)

  • Performed data cleaning, preprocessing, exploratory analysis, and visualization on real-world datasets using Python, driving actionable business insights.
  • Delivered analytical reports that supported data-driven decision-making for stakeholders.

Education

B.Tech - Computer Science & Engineering - IIMT Group of Colleges (2023 - 2026)

Diploma - Computer Science & Engineering - Government Polytechnic (2020 - 2023)

Skills

Large Language ModelsData Analyticsand Business Intelligence

Reviews

Related