Manohar Papasani
An independent AI R&D lab presents

The man who hires digital employees

I build AI agents that do real jobs on a schedule, check their own work, and get measured like any other employee. This is the lab: who is on duty, what we are researching, and what ships next.

Meet the workforce
13digital employees on duty
4agent teams posting daily, unattended
68tasks in the Gemma 4 agent study
10+years building software, data platforms and AI
Reel 1 · The workforce

Nobody here takes a day off

Every agent below runs on its own schedule in the cloud, with a quality gate before anything goes out and a trace of every step. The goal is a hundred of them working together by the end of January.

12 on duty todayGoal 100 by 31 Jan 2027
Reel 2 · Architecture

How the digital workforce runs

The systems behind the work: what triggers each shift, which models and tools the agents use, where quality is checked, and how every step is traced.

Reel 3 · Lab notebook

What we found this month

Dated entries from the lab. Results marked preliminary are still being run or written up.

    Reel 4 · The arsenal

    46 repositories. One builder.

    Research, production agent systems, free courses anyone can take, and open-source contributions. Public ones link to the code; private ones run real workloads and stay closed.

    46repositories on GitHub
    29public, open to anyone
    0free courses for everyone
    0systems running live
    Reel 5 · The journey

    From a farming village to a digital workforce

    I build software that does real work. For more than ten years that meant automation, data platforms and production systems. Today it means AI agents: digital employees that research, write, check and publish on their own.

    1. Roots

      A farming village

      Grew up in Komarapudi, near Nellore, in a family of farmers. Education was the way forward, up to an MCA from Sri Venkateswara University.

    2. 2010 – 2019

      The builder years

      Hyderabad: Python automation at MoSys, Java platforms at Pyramid Softsol, Spark and Scala pipelines on AWS at Virtusa.

    3. 2021 – 2026

      Automation at scale

      Five years at Bank of America: SRE and DevOps, then GenAI for a 100–150 person organisation, and the prompt-engineering team I founded.

    4. 2026 – now

      A digital workforce

      An agent factory for a 20-agent programme at ValueMomentum; now leading agentic GenAI on AWS at Minfy, and running this lab on the side.

    The question changed from "can AI help an engineer?" to "can AI do the job, reliably, every day?"

    Teaching, all along. A trainer since 2004 and once an Assistant Professor: 500+ engineers trained, and a learning group in every company I join. The free courses here are the same habit.

    Experience

    1. Oct 2026 – presentHyderabad

      Minfy Now

      AI Developer – Lead

      • Lead a team of four engineers building agentic GenAI solutions on AWS Bedrock for AWS Marketplace.
      • Own the build: environments, scope, architecture and delivery of the first solutions.
    2. Aug 2026 – Oct 2026

      ValueMomentum

      GenAI Solution Architect · AI Senior Lead

      • Designed the agent factory behind a client's 20-agent incident-management programme: a 2-year plan delivered in 6–8 months, with ~70–80% platform reuse.
      • Built the flagship root-cause-analysis agent on Copilot Studio: time to first answer from ~30 s to under 5 s, 1,506+ incidents per run, zero new infrastructure cost.
      • Brought CI, quality gates and a regression harness to low-code agents; continuous evaluation lifted answer consistency from ~25% to ~80%.
    3. Apr 2021 – Jul 2026

      Bank of America

      AVP · GenAI & Automation Lead · SRE/DevOps Lead

      • ~14,300 engineer-hours a year saved: a prompt-engineering framework that automated 28,600+ compliance reviews a year at 4× throughput (40 → 10 minutes each).
      • Founded the prompt-engineering team and built a library of 10,000+ structured prompts; 100+ automations (20+ built, 80+ mentored across 8–10 teams).
      • Database health checks across 27 databases cut from 1.5 hours to 5–10 minutes; incident management and service restoration in critical windows.
      • Led Copilot adoption for a 100–150 person organisation; GenAI orchestration (LLMOps) with LangSmith and Galileo.
      • 28 awards in five years, including Platinum for GenAI leadership.
    4. Aug 2019 – Mar 2021

      Virtusa

      Senior Consultant

      • Spark and Scala data pipelines on AWS EMR for a research-analytics company: automated Hive ingestion, large-scale S3-to-HDFS migration.
      • Spark applications with JanusGraph and HBase for an insurer's disability-evaluation platform.
    5. Dec 2012 – Sep 2014

      Pyramid Softsol

      Software Engineer

      • Java, Spring and Hibernate application layers for two client platforms; automated data migration; production incident fixes.
    6. Oct 2010 – Jul 2011Hyderabad

      MoSys India

      Technical Consultant

      • Python automation for semiconductor test data (CSV, JSON, XML); Oracle extraction, validation and cleansing.

    Teaching

    1. Aug 2011 – Nov 2012Nov 2014 – Jul 2019

      Independent technical trainer

      Python, Java and big data · corporate and campus · 500+ engineers trained

    2. Nov 2007 – Mar 2010

      DRK College of Engineering and Technology

      Assistant Professor

    3. 2004 – 2007Nellore

      CAT Computers

      Trainer · where teaching started

    Education

    1. Postgraduate

      MCA

      VRIPS · Sri Venkateswara University

    2. Undergraduate

      Bachelor's degree

      Vivekananda Degree College · Sri Venkateswara University

    3. Intermediate

      Ratna Junior College

    4. Classes 8 – 10

      Vidya Bharathi

    5. Classes 1 – 7

      Siddhartha English Medium School

    10+years in software, data platforms and AI
    14,300engineer-hours a year saved at Bank of America
    28awards, including Platinum for GenAI leadership
    20agent programme delivered in 6–8 months instead of 2 years

    MCA · Cisco Certified Python Professional · GenAI programme at IIT Patna (in progress) · Claude Certified Architect – Professional (preparing)

    Coming next

    Back the lab

    Looking for partners, sponsors and early users for the next builds. Each one ships in public with measured results.

    Talk to me on LinkedIn See the code
    • Agent swarm · a factory that turns a short spec into a working agent, and a shared board where 100 agents coordinate
    • Guardrails agent · interviews a team, then enforces their rules across every agent
    • Competition autopilot · finds AI competitions worldwide, builds entries, fixes its own failures
    • ML inside agents · routers, rankers and guards that make agents cheaper and safer