Senior Full-Stack Engineer · AI/ML · India

Anshuman Nayak

I build production systems (payments, data pipelines and LLM-powered products) and publish research applying machine learning to soil science.

Portrait of Anshuman Nayak
6+ yrs
shipping production software
10B+
records migrated monthly via ETL
1M+
customer queries handled by LLM chatbots
12
peer-reviewed papers, 161 citations

I'm a full-stack engineer with six years of experience taking systems from design to production: a payment gateway handling 15,000+ transactions a day, ETL pipelines moving 10 billion records a month, and a low-code API platform that cut delivery time from 14 days to 2 hours for 2,000+ data scientists. More recently I've worked on LLM training data and domain-specific AI evaluation with Micro1 AI and Scale AI.

I hold an M.Tech from IIT Kharagpur, and alongside industry work I collaborate on research in precision agriculture: smartphone-based soil sensing, proximal and remote sensor fusion, and generative-AI-assisted soil carbon estimation. That work has produced 12 peer-reviewed papers and a patented smartphone imaging technology.

I'm open to senior engineering and applied-ML roles.

Languages
  • Python
  • JavaScript
  • TypeScript
  • Go
  • Rust
  • C
AI / ML
  • GPT
  • Claude
  • Gemini
  • LangGraph
  • LangChain
  • RAG
  • Multi-agent systems
  • AI evaluation
  • TensorFlow
  • OpenCV
  • pandas
  • NumPy
Frameworks
  • Node.js
  • Express
  • NestJS
  • React
  • Next.js
  • Ionic
  • Django
  • Flask
  • FastAPI
  • GraphQL
  • REST
Data, cloud & tools
  • PostgreSQL
  • MySQL
  • MongoDB
  • Firebase
  • Snowflake
  • AWS (EC2, EKS, RDS, S3, Amplify)
  • Docker
  • Terraform
  • Nginx
  • Git
  • Jira
  1. Human Data Manager

    Micro1 AI · Consultancy

    • Led a cross-functional team of 53 subject-matter experts across data science, healthcare, physics and executive leadership.
    • Curated and validated full-stack code repositories (Node.js, React, Python, Go, Ruby) for LLM training datasets.
    • Built data ingestion pipelines that prioritise human-generated over synthetic content to improve model reasoning.
    • Set up multi-stage quality review and human-in-the-loop workflows to raise alignment and code fidelity.

    LLM training data · HITL · Team leadership · Code review

  2. Engineering Expert, Human Frontier Collective Fellow

    Scale AI · Fellowship

    • Evaluated AI model solutions in agricultural and environmental engineering, identifying errors, limitations and failure modes.
    • Wrote domain-specific test questions and benchmarks to assess model reliability in agricultural technology.
    • Supplied expert corrections for model mistakes, feeding improved training data and evaluation datasets.
    • Guided model behaviour in soil science, precision farming and environmental monitoring.

    AI evaluation · Benchmarks · Soil science · Precision farming

  3. Software Engineer II

    Zeno Health · Remote

    • Engineered a payment gateway processing 15,000+ transactions a day with 99.9% uptime and sub-100 ms latency.
    • Architected ETL pipelines migrating 10 billion+ records every month with zero data loss.
    • Deployed GPT-4 chatbots handling 1M+ customer inquiries a year, cutting manual support volume by 60%.
    • Orchestrated multi-agent systems (GPT-4, Gemini, Claude) that automate product-development workflows, improving team efficiency by 70%.
    • Built Zeno Rewards, serving 250+ offline stores and 2 million monthly active customers.
    • Led and mentored 10 developers, set code-quality standards and introduced self-healing AI agents for automated code review.

    React · Node.js · Python · MySQL · GPT-4 · Gemini · Claude

  4. Software Engineer

    Carelon Global Solutions · Gurugram

    • Created a low-code platform for the Data API Gateway, reducing development time from 14 days to 2 hours.
    • Built its fault-tolerant core, supporting 2,000+ data scientists and 5+ production applications at 99.9% uptime.
    • Owned the data-model lifecycle, from schema design to pipeline optimisation, with real-time alerting and incident response.

    Low-code platforms · API gateway · Observability

  5. Full-Stack Developer

    Nex Verse Pvt. Ltd.

    • Built the interface for a hybrid social app that grew to 8,000+ users and 15 businesses.
    • Developed the Node.js and MongoDB backend, added AWS EC2 autoscaling and cut video-processing latency by 40%.
    • Shipped push notifications, in-app messaging, A/B testing and analytics with Firebase.

    Cordova · Node.js · MongoDB · AWS EC2 · Firebase

  1. M.Tech, Agricultural Systems & Management

    Indian Institute of Technology (IIT) Kharagpur

    CGPA 9.51 / 10 · GATE 2020 All-India Rank 67

  2. B.Tech, Agricultural Engineering

    Odisha University of Agriculture and Technology (OUAT), Bhubaneswar

    CGPA 8.50 / 10

Honours

  • Patent granted for smartphone-based detection of nitrate and phosphate in soil and water samples
  • Recognised Scholar in Digital Agricultural Technology, Geological Society of America, Kyoto, Japan
  • All-India Rank 67, GATE 2020 (Agricultural Engineering)

Certifications

  • GraphQL Developer Associate, Apollo
  • Meta Back-End Developer Program, Meta
  • Data Analytics with Python, NPTEL (Silver Elite Award)
  • Responsible and Safe AI, NPTEL
  • JavaScript Algorithms and Data Structures, freeCodeCamp
  • Haiti Digital Soil Mapping · SolumSense

    Country-wide digital soil-mapping platform with nutrient analysis and precision fertilizer recommendations, used by policymakers, fertilizer companies and smallholder farmers.

    Next.js · FastAPI · MySQL

    View project →
  • Fusion CMS

    Generates GraphQL and REST backends from SQL and NoSQL sources with no hand-written code. Deploys as a monolith or microservice with custom middleware.

    TypeScript · Next.js · GraphQL · REST

    View on GitHub →
  • SpectraML

    Open-source AutoML platform for spectroscopic data: preprocessing, feature engineering, model selection, PCA/t-SNE visualisation and evaluation, with reproducible Jupyter pipelines.

    Django · Python · Plotly · D3.js · Jupyter

  • Mobile Plant Disease Detector

    Offline-capable app that lets farmers identify plant diseases from a smartphone photo, running deep-learning models on the device.

    TensorFlow.js · OpenCV.js · WebAssembly · Ionic

    Read the paper →
  • Spectagro

    Agri-tech platform for soil testing and analytics, nutrient recommendations, crop-area estimation and sourcing.

    Agri AI · Analytics

    View project →
  • Zeno Rewards

    Loyalty and offers product for 2 million monthly customers across 250+ pharmacy stores.

    React · Node.js · MySQL

    View project →
  • Agriculture Tools

    Free field calculators: fertilizer dose, seed rate, spray mix, rainfall analysis and machinery hiring cost.

    Calculators · Open access

    Open tools →

15 publications 161 citations h-index 6 i10-index 4

  1. 2026
    Prediction of compost physicochemical properties using image-based feature extraction and machine learning

    A Nayak, LS Rowles, T Echols, B Bakaric, C Rowland, C Kinard, T Barnett, et al.

    Waste Management

  2. 2026
  3. 2026
    Portable X-ray fluorescence evaluation of heavy metals in landfill soils of Bangladesh: spatial distribution, ecological, and health risk assessment

    SS Alam, M Moula, SS Alam, S Chakraborty, PD Roy, A Nayak, S Miah, et al.

    Environmental Geochemistry and Health1 citation

  4. 2026
    Advanced sensing and AI for soil organic carbon monitoring and mapping

    A Nayak, R Singh, U Dam, M Sarkar, DK Swain, S Chakraborty

    Book chapter · Climate-Smart Technologies for Sustainable Agricultural Production

  5. 2026
  6. 2026
    Integrating proximal and remote sensing for regional soil characterization and mapping in rural Haiti

    S Chakraborty, A Nayak, D Weindorf, R Cean, N Bakr

    EGU General Assembly 2026 (abstract)

  7. 2025
    Combining proximal and remote sensors for regional soil characterization in rural Haiti

    A Nayak, R Cean, S Chakraborty, N Bakr, A Biswas, B Li, DK Swain, et al.

    Geoderma Regional1 citation

  8. 2025
    Enhancing soil organic carbon estimation with generative AI and Nix color sensor

    R Singh, M De, R Banerjee, A Nayak, S Dasgupta, A Das, S Dey, et al.

    Scientific Reports6 citations

  9. 2025
    Enhancing soil organic carbon prediction using FTIR spectroscopy and generative AI-augmented machine learning models

    U Dam, R Singh, A Nayak, S Dey, A Biswas, DC Weindorf, S Chakraborty

    IEEE InGARSS 2025

  10. 2025
    Soil organic carbon prediction and mapping using laboratory hyperspectral imaging

    R Singh, U Dam, A Nayak, S Dey, A Biswas, DC Weindorf, S Chakraborty

    IEEE InGARSS 2025

  11. 2024
    Soil fertility prediction using combined USB-microscope based soil image, auxiliary variables, and portable X-ray fluorescence spectrometry

    S Dasgupta, S Pate, D Rathore, LG Divyanth, A Das, A Nayak, S Dey, et al.

    Soil Advances21 citations

  12. 2024
    Digital soil mapping of available phosphorus using a smartphone-integrated RGB imaging device and ascorbic acid extraction method

    V Lavanya, A Das, A Nayak, Y Chawla, S Dasgupta, DC Weindorf, B Li, et al.

    Smart Agricultural Technology9 citations

  13. 2023
    Application of smartphone-image processing and transfer learning for rice disease and nutrient deficiency detection

    A Nayak, S Chakraborty, DK Swain

    Smart Agricultural Technology88 citations

  14. 2023
    A smartphone-integrated imaging device for measuring nitrate and phosphate in soil and water samples

    V Lavanya, A Nayak, S Dasgupta, S Urkude, S Dey, A Biswas, B Li, et al.

    Microchemical Journal24 citations

  15. 2023
    A smartphone-enabled imaging device for chromotropic acid-based measurement of nitrate in soil samples

    V Lavanya, A Nayak, P Deb Roy, S Dasgupta, S Dey, B Li, DC Weindorf, et al.

    Sensors11 citations

Citation counts from Google Scholar, October 2026 · ORCID · Citation lookup tool

The fastest way to reach me is email. I usually reply within a couple of days.