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Rishi Mathur

Rishi Mathur

Gen AI Engineer

Talent
VadodaraMember since April 7, 2026
PythonSQLJavaScriptNext.jsReactPyTorchTensorFlowScikit-learnCNNsYOLOLLMsRAGNLPPrompt EngineeringPandasNumPyMatplotlibData VisualizationFeature EngineeringFastAPIFlaskREST APIsPostgreSQLMySQLMongoDBFAISSpgvectorAWSDockerKubernetesGitHub ActionsCI/CDLangChainLlamaIndexHuggingFaceSpaCyOpenCVEasyOCR
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PythonSQLJavaScriptNext.jsReact

About

AI/ML Engineer and final-year Computer Science student specializing in Generative AI, LLM applications, and computer vision. Experienced in building scalable AI systems, RAG pipelines, vector embedding search systems, AI agents, and multi-agent architectures using Python, FastAPI, LangChain, LlamaIndex, and FAISS. Skilled in HuggingFace models, prompt optimization, model evaluation, and LLM fine-tuning, with experience deploying production-ready AI solutions using AWS, Docker, and modern MLOps practices to process large datasets and generate actionable insights.

Experience

Generative AI Intern at Digikentro (2026-01 – Present)

AI Resume Parser & Builder (LLM + NLP SaaS Platform) integrated with Dynamics 365 and AI Music Lyrics Generation Prototype

  • Developed a hybrid AI resume parsing system using SpaCy and GPT-4o-mini, achieving 95–98% structured data completeness for PDF and DOCX resumes.
  • Built a full-stack AI SaaS platform (Next.js frontend + FastAPI backend) featuring an interactive resume builder with real-time preview and customizable templates.
  • Implemented ATS scoring (0–100) and job description matching algorithms to analyze candidate-job alignment and generate optimization insights.
  • Integrated PostgreSQL + pgvector semantic search for intelligent candidate matching and automated profile creation within the company's live recruitment platform.
  • Scaled the system to process 6000+ resumes, generating 5700–5880 fully structured outputs in 7.2 hours with $14 API cost, demonstrating high scalability and cost efficiency.
  • Built a RAG-based lyric generation system using Python and FAISS, enabling context-aware music lyric generation.
  • Designed data preprocessing and structured dataset pipelines (JSON/JSONL) to improve generation quality and consistency.
  • Delivered the prototype as a client-facing proof-of-concept for product demonstrations and internal evaluation.

Education

Bachelor of Technology in Computer Science Engineering – Navrachana University (2022 – 2026)

Higher Secondary Education – Prince AshokRaje Gaekwad School (2022)

Skills

Gen AI Engineer

Reviews

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