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Built by students, for students. Not a company. A community.

LIFE AT ANACODIC

Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic
Life at Anacodic

OUR PEOPLE

Rashanjot Kaur

MS CS @ Boston University

Building Anacodic to make AI research accessible through hands-on learning. Expert in system architecture, ML pipelines, and multi-agent systems.

TerrierGrader, PA Manual, Energy Forecasting, Self-Portrait Analysis

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Dishant Pandauria

Co-lead of technical operations. Expert in Go backend architecture and systematic execution. Building scalable infrastructure for AI applications.

TerrierGrader, Booze Buddy, Gateway, Auth Service

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Bhanu Sharma

Research Intern @ Dell · MS Data Science @ USA

Leading AI/ML strategy and research. Expert in machine learning, AI architecture, and code quality. Currently Research Intern @ Dell.

Course Recommender, Beverage-Recommendation-AI, Astro-Dating-AI

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Anjali Sharma

IISC Bangalore

Leading design and user experience strategy. Expert in UI/UX design, user research, and brand strategy. Currently at IISC Bangalore.

Smart Shopping, Design System

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Varanjot Singh

Leading operations and sprint management. Expert in QA/testing, documentation, and full-stack development. Coordinates day-to-day project workflows.

Course Recommender, TerrierGrader, Mobile App

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Rajat Yadav

Leading AWS infrastructure, CI/CD, and deployment. Expert in cloud infrastructure, scaling, and DevOps automation.

TerrierGrader, Infrastructure

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Vasudev Parmar

Software Engineer building scalable backend systems and AI-powered platforms using Java, Go, Kubernetes, and MCP.

Swaad

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Rashanjot Kaur

MS CS @ Boston University

Building Anacodic to make AI research accessible through hands-on learning. Expert in system architecture, ML pipelines, and multi-agent systems.

TerrierGrader, PA Manual, Energy Forecasting, Self-Portrait Analysis

Profile →

Dishant Pandauria

Co-lead of technical operations. Expert in Go backend architecture and systematic execution. Building scalable infrastructure for AI applications.

TerrierGrader, Booze Buddy, Gateway, Auth Service

Profile →

Bhanu Sharma

Research Intern @ Dell · MS Data Science @ USA

Leading AI/ML strategy and research. Expert in machine learning, AI architecture, and code quality. Currently Research Intern @ Dell.

Course Recommender, Beverage-Recommendation-AI, Astro-Dating-AI

Profile →

Anjali Sharma

IISC Bangalore

Leading design and user experience strategy. Expert in UI/UX design, user research, and brand strategy. Currently at IISC Bangalore.

Smart Shopping, Design System

Profile →

Varanjot Singh

Leading operations and sprint management. Expert in QA/testing, documentation, and full-stack development. Coordinates day-to-day project workflows.

Course Recommender, TerrierGrader, Mobile App

Profile →

Rajat Yadav

Leading AWS infrastructure, CI/CD, and deployment. Expert in cloud infrastructure, scaling, and DevOps automation.

TerrierGrader, Infrastructure

Profile →

Vasudev Parmar

Software Engineer building scalable backend systems and AI-powered platforms using Java, Go, Kubernetes, and MCP.

Swaad

Profile →

FACULTY & ADVISORS

Prof. Eugene Pinsky, PhD

BUHarvard BAColumbia PhD

Advises on

  • Research methodology · Publication positioning
  • Honest evaluation · Deployment thinking
Research rigor means being able to show your work at every step — the methods, the assumptions, the limitations. Interpretability, honest evaluation, and reproducibility are not extras. Collaborators here learn to hold their work to that standard from the start.

Our Recent Work

  • Carbon Cost of Intelligence Energies·MDPI
  • Operational Resilience Systems·MDPI
  • Soft Clustering under review
  • Quantile shape / MAD under review

Prof. Kathleen Park, PhD

HarvardMITBU

Advises on

  • Humanitarian AI · Multi-agent systems
  • Responsible deployment · Research direction
Most agentic AI research focuses on what these systems can do. We at AnacodicAI Labs focus on who they're for. Our multi-agent systems are designed for communities without access, clinics without specialists and classrooms without enough teachers, with privacy and responsible deployment at the architectural level. That's the gap between AI capability and AI reach. We're closing it.

Our Recent Work

  • Carbon Cost of Intelligence Energies·MDPI
  • Operational Resilience Systems·MDPI
  • Mental Health AI in progress
  • Clinical Evidence Retrieval in progress

Prof. Eugene Pinsky, PhD

BUHarvard BAColumbia PhD

Advises on

  • Research methodology · Publication positioning
  • Honest evaluation · Deployment thinking
Research rigor means being able to show your work at every step — the methods, the assumptions, the limitations. Interpretability, honest evaluation, and reproducibility are not extras. Collaborators here learn to hold their work to that standard from the start.

Our Recent Work

  • Carbon Cost of Intelligence Energies·MDPI
  • Operational Resilience Systems·MDPI
  • Soft Clustering under review
  • Quantile shape / MAD under review

Prof. Kathleen Park, PhD

HarvardMITBU

Advises on

  • Humanitarian AI · Multi-agent systems
  • Responsible deployment · Research direction
Most agentic AI research focuses on what these systems can do. We at AnacodicAI Labs focus on who they're for. Our multi-agent systems are designed for communities without access, clinics without specialists and classrooms without enough teachers, with privacy and responsible deployment at the architectural level. That's the gap between AI capability and AI reach. We're closing it.

Our Recent Work

  • Carbon Cost of Intelligence Energies·MDPI
  • Operational Resilience Systems·MDPI
  • Mental Health AI in progress
  • Clinical Evidence Retrieval in progress

OUR STORY

We started Anacodic to close the gap between learning and doing by giving students a real place to contribute. We do it by welcoming students into guided, active work: codebases with real users and constraints, and research that has to be reproducible and defensible under review. We wanted that environment to be available from the start: structured, supportive, and built for steady growth.

What we believe:

  • Growth should feel supported: clear scope and feedback make progress natural.
  • Research should be contribution-led: strong work earns authorship.
  • Work should be portable: work should be specific, verifiable, and explainable.

That's what we build toward: students contributing to production systems and faculty-backed research, with work they can defend in any room.

Founded at Boston University · Volunteer-run

Collaborating with: Boston University · Boston Children's Hospital · Harvard Medical School · Cleveland Clinic