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Experience

A chronology of work, questions, and returns.

The work makes more sense to me as a sequence of encounters—not a master plan.

Chronology

  1. 2026

    May 2026 — Present

    Waldo

    Founder

    Building a user-owned personal agent and its first Mac home, while keeping product claims separate from the deeper research questions the work exposes.

    Bounded evidence

    Kennel, a durable harness, and Waldo mobile are working internal foundations; Kennel has bounded live Codex acceptance.

    Question carried forward

    Can one personal relationship preserve intent and evidence across agents while reducing what the person must carry?

    • Persistent Agents
    • Memory
    • Control
    • Evaluation
  2. 2026

    Jan — Jun 2026

    Atlan

    FDE & AI Engineer Intern

    Worked where models became production systems with context, tools, credentials, integrations, deployment, and real failure modes.

    Bounded evidence

    Helped build and operate more than 30 production agent instances across teams and workflows.

    Question carried forward

    What does it take to know that an agent's finished run actually resolved the human outcome?

    • Production Agents
    • Agent Infrastructure
    • Reliability
  3. 2025

    Jul — Sep 2025

    Soket AI Labs · Project EKA

    MTS Intern · LLM Pre-training

    Worked below the model interface on multilingual curation and reproducible experimentation for an IndiaAI Mission-backed sparse-MoE program.

    Bounded evidence

    Built Eka Curator and worked on the COOM framework; the program's full scale remains attributed to Project EKA.

    Question carried forward

    How much of model capability is decided by data and evaluation before architecture receives the credit?

    • Multilingual Data
    • Sparse MoE
    • Experiments
  4. 2025

    Oct 2025

    India–Japan Exchange

    MIRAI-Setu Participant

    Selected among 40 students from India by Japan’s Ministry of Foreign Affairs for a month-long India–Japan exchange, including a 15-day technology internship and meetings with public and technology leaders in Fukuoka.

    Bounded evidence

    Selected for the month-long 2025 program and company-internship exchange; the published yearbook records the cohort.

    Question carried forward

    What makes a technical system worthy of trust over decades rather than impressive for a launch?

    • Japan
    • Technology Exchange
    • Kaizen
  5. 2024

    Jun — Sep 2024

    OpenFn (C4GT)

    AI Engineer Intern

    NLP-to-workflow pipeline for government-tech data integrations. Selected under the Code for GovTech national open-source program.

    Bounded evidence

    Built an NLP-to-workflow contribution through the national Code for GovTech open-source program.

    Question carried forward

    How do language models become dependable components inside systems with explicit schemas and consequences?

    • NLP
    • Open Source
    • GovTech
  6. 2023–25

    2023 — 2025

    The Programming Club · IIITDM Jabalpur

    HackByte Lead Organiser

    Helped grow HackByte from an internal college event to 5,154 registrations across three years. As a Programming Club core member and mentor, I also started ML Summer School and Winter of ML for structured projects and peer learning.

    Bounded evidence

    Helped grow HackByte from an internal event to 5,154 registrations and started project-led ML learning programs.

    Question carried forward

    How do you make technical depth inviting without lowering the standard?

    • Community
    • Hackathon
    • Lead Organiser
  7. 2022

    Oct 2022 — Jun 2026

    IIITDM Jabalpur

    B.Tech — Smart Manufacturing

    Completed a B.Tech in Smart Manufacturing as branch topper with an 8.5 CPI, studying AI/ML, mechatronics, industrial systems, and design at the boundary between software intelligence and the physical world.

    Bounded evidence

    Completed the degree as branch topper with an 8.5 CPI; co-invented published dental-inspection and waste-to-value patent applications.

    Question carried forward

    What changes when intelligent software must perceive and act in a noisy physical world?

    • AI/ML
    • Mechatronics
    • Systems Design