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Mayank Akash Singh

Mayank Akash Singh

Ai engineer bringing 2+ year of experience on table

Talent
BengaluruMember since April 16, 2026
PythonFastAPIAsyncIOREST APIsOpenAI APILangChainRAGPrompt EngineeringMongoDBMySQLFirebaseDataversePineconeHugging FaceJWT AuthenticationRBACbcryptReactJavaScriptStreamlitDockerDocker ComposeCI/CDAWSPower AppsPower AutomateAI BuilderMTCNNFaceNetVGG16ResNetKNN Classification
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PythonFastAPIAsyncIOREST APIsOpenAI API

Experience

SDE - 1 at The Digital Loom (2024-06 – Present)

Lead backend development for two production platforms — an AI-powered multi-tenant survey intelligence system and an enterprise ERP automation platform.

  • Architected and launched Leap Survey Platform end-to-end from zero to production, owning system design, backend engineering, AI integration, and deployment
  • Engineered a scalable backend using FastAPI, MongoDB, and OpenAI GPT-4o-mini to automate survey creation and response analysis
  • Established a structured LLM survey generation pipeline with JSON schema validation to ensure reliable parsing of model outputs
  • Reduced survey generation latency by 40–60% through parallel asynchronous execution using asyncio.gather
  • Crafted an AI analytics pipeline converting raw survey responses into statistical summaries and GPT-generated narrative reports
  • Introduced secure enterprise authentication using JWT, bcrypt, and hierarchical RBAC enabling role-based access across teams
  • Containerized backend services with Docker and Docker Compose, enabling streamlined deployments
  • Enforced strict multi-tenant data isolation across enterprises, teams, surveys, and responses
  • Devised and deployed an ERP automation solution using Microsoft Power Platform to digitize operational workflows
  • Produced 5 model-driven applications and 20+ automation flows replacing manual processes
  • Reduced manual workload by 12+ hours per month and decreased operational errors by 90%
  • Generated operational alerts producing 500+ notifications monthly
  • Led multi-environment deployments ensuring reliable adoption across teams

AI & ML Intern at Khanuja Group (2023-12 – 2024-06)

Developed AI and machine learning solutions including automated face-recognition systems.

  • Created an automated face-recognition attendance system using MTCNN, FaceNet, VGG16, and ResNet
  • Developed a complete computer vision pipeline integrating detection, embedding generation, and identity recognition
  • Achieved 98% identification accuracy and reduced manual attendance tracking time by 80%

Education

B.Tech in Artificial Intelligence and Data Science – Samrat Ashok Technological Institute (2020-06 – 2024-05)

Higher Secondary (CBSE) – St. Paul Co-ed School (2018 – 2019)

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