There's no shortage of compassion. There's a shortage of systems that convert compassion into impact at scale.

I'm Neal. 15 years building operations and strategy for organizations. Now building the data infrastructure, leadership pipeline, and economically viable interventions that India's animal welfare movement critically lacks.

Origin
What I saw. What I couldn't unsee.

I've worked with dogs almost all my life. Five of them live with me. Through rescue work, I watched good people pour everything into feeding a hundred strays, sterilizing a hundred more, believing the problem was shrinking. It wasn't. The system produces suffering faster than any rescue effort can absorb.

But it's not dogs, is it? The farmed animal system operates at a scale that makes companion animal welfare look like a rounding error. I needed to see it for myself.

Field Notes — Nangli Sakrawati Dairy Colony, Delhi — September 2025

Delhi has 86,433 cows and 1,62,142 buffaloes across 9 designated dairy colonies. I visited Nangli Sakrawati. In every unit, cattle were permanently tethered with short, abrasive ropes or heavy metal chains, unable to sit or stretch. Ten cows tied in a pitch-dark room, one after the other, hardly any space to move. That's not a bad day. That's their life for 20 years, until they stop producing milk and are sent for slaughter.

A calf carcass lay in the open, maggots infesting the body. Left long enough that nobody noticed anymore. Stray cows sat on dung piles eating polythene. Milk containers stood open, swarmed with flies, in sheds where workers bathed next to the animals they milked.

Every law exists. None are enforced.

Field Notes — Poultry Unit, Bulandshahr, Uttar Pradesh

Chicks with beaks cut off without veterinary supervision, showing visible stress and difficulty feeding. Nearly 10% mortality, dead chicks lying among the living. Birds pecking and cannibalizing each other. Four birds crammed into cages too small to spread a single wing.

Sick and injured birds untreated. Filthy sheds. Dirty drinking water. Dead birds left with no disposal. The farm operates 100 metres from a school.

These birds live for 32 to 40 days. Every one of those days is suffering.

86,433
Cows in Delhi alone
32
Days a broiler lives before slaughter
124B
Farmed fish killed per year globally
3%
Of charity funding goes to farmed animals
India's Prevention of Cruelty to Animals Act has existed since 1960. CPCB guidelines exist. Food safety regulations exist. Every facility I investigated was in violation. The problem isn't legislation. It's everything between legislation and impact: data, enforcement, leadership, and economically viable alternatives.
Diagnosis
Five systemic failures I'm working to address
The Funding Misallocation
Companion animals
$11B
6M animals
Corporate campaigns
$75M
500M+ animals
01
The Singularity Trap
Rescuers think in units. Feed 100, sterilize 100. Compassion is abundant. Systems thinking barely exists. 95% of charity funding goes to companion animals. Farmed animals, 99% of those killed, get 3%.
02
The Scale of Invisibility
India's dairy colonies, poultries, and pig farms operate at massive scale, hidden from public view. What I documented in Delhi and Bulandshahr is not exceptional. It is standard practice.
03
The Enforcement Gap
Laws exist since 1960. Enforcement doesn't. Moving things at scale in India requires new mechanisms. The movement is in infancy but the potential is the highest of any country.
04
The Leadership Vacuum
Not enough leaders being developed. The movement needs fellowships and programs that bring strategic, operational, and analytical talent into the space. Direct care and large-scale intervention can coexist.
05
The Data Desert
Either the data doesn't make sense or it doesn't exist. Most people in Indian animal welfare aren't data-driven, and those who have data can't translate it into actionable insights. Analytical systems thinking is the most effective way to make scalable, impactful changes. This is the gap I build tools to fill.
Current Work
Building the infrastructure the movement lacks
Building

AWIP

Open-source Animal Welfare Intervention Prioritizer for South & Southeast Asia. Uses CE's Suffering-Adjusted Days framework to rank interventions by expected suffering reduction per dollar.

Developing

Protein-Blending Campaigns

Novel corporate engagement: work with food companies to blend 20-30% plant protein into meat products. Unlike cage-free, this asks companies to spend less. Aligned economics.

Participating

HIP Impact Accelerator

Selected for High Impact Professionals' program. Testing how 15 years of ops career capital translates into animal welfare leadership.

Applying

CE & K4G Incubators

Charity Entrepreneurship (animal welfare) and Kickstarting for Good (food systems). Building the evidence base for novel interventions in India.

Research & Analysis
Selected work
Background
15 years of building. Now building for impact.

COO and Head of Revenue Operations across multiple ventures. Management consulting, people operations, business development across India's technology and services landscape. I've built teams, designed processes, managed P&Ls, and scaled operations from zero.

The move into animal welfare was deliberate. Through effective altruism I found a framework for rigorous impact thinking. Through field investigations I found the problem that matched the scale of my ambition. Selected as an Ahimsa Fellow (2025). EA Global attendee. Now converting operational experience into the systems infrastructure India's animal welfare movement needs.

15+
Years in strategy
& operations
9
Dairy colonies
documented in Delhi
12+
Research documents
produced
680x
Cost-effectiveness
corporate campaigns
Connect
Let's talk

Working on animal welfare, food system transformation, or effective philanthropy in South Asia? I'd welcome a conversation. Especially interested in connecting with food industry professionals, EA-aligned funders, and advocacy organizations exploring novel interventions.

I also advise organizations on operations strategy, food system analysis, and impact measurement.