Founding Engineer · LLM Orchestration · Regulated Fintech
Dhruv Puri
Founding engineer at GoReach Finance, where I built the AI and data backbone of a SEBI-regulated mutual fund advisory platform from zero: LLM orchestration, backend, mobile, and infrastructure. Before this I was the founding AI/ML engineer at JuiceLabs, where I built an end-to-end video generation pipeline — idea in, finished cinematic ad out — shipping at millions of impressions a month for enterprise clients. Earlier, researchers used software I built to 3D-print tissue for organ regeneration studies. Based in Bengaluru, India.
Millions of impressions a month from pipeline-generated ad creative. 0.02 mm positional precision. 10M+ transactions validated. 15 projects shipped.
Operator file
REF A-01 · Updated 2026Founding engineer at GoReach Finance, where I built the AI and data backbone of a SEBI-regulated mutual fund advisory platform from zero: LLM orchestration, backend, mobile, and infrastructure. Before this I was the founding AI/ML engineer at JuiceLabs, where I built an end-to-end video generation pipeline — idea in, finished cinematic ad out — shipping at millions of impressions a month for enterprise clients. Earlier, researchers used software I built to 3D-print tissue for organ regeneration studies. Based in Bengaluru, India.
Exceptional problem-solver, serving skills with remarkable innovation. Never misses an opportunity.
Service record
5 roles · 3 cities · Chronological descFounding Engineer
- Built the AI and data backbone of a SEBI-regulated mutual fund advisory platform from zero: the AI service, the backend, the customer mobile app, and the infrastructure under them.
- Multi-provider LLM orchestration across Claude, Gemini, and OpenAI, with prompt caching, cost metering, and evals that gate output for regulatory compliance.
- Java 25 / Spring Boot 4 backend on PostgreSQL: fund search and portfolio analytics, daily market-data ingestion from a vendor feed, exchange integration for mutual fund order placement, Aadhaar-based KYC through a regulated identity provider, realtime WebSocket integration, push and SMS notifications.
- React Native customer app end to end; Hinglish speech-to-text with LLM summarisation; AWS ECS and EKS, Helm, CloudFormation, CodePipeline.
Founding AI/ML Engineer
- Built the end-to-end video generation pipeline: idea → script → storyboard → finished cinematic video, length-agnostic.
- Multi-phase agentic architecture: granular per-atom user review, parallel multi-model orchestration, cross-family LLM-as-judge evaluation.
- Shipped 15-second ad creative for enterprise clients at millions of impressions a month.
- Ran weekly Claude Code enablement sessions for a 20-person team; advised enterprise clients on AI adoption.
Founding Software Engineer
- Built the human-machine interface for biomedical 3D printers; researchers used it to print tissue constructs for organ regeneration studies.
- Real-time computer-vision print QC (OpenCV); solo-designed auto-calibration achieving 0.02 mm positional precision.
- Cut user setup time 30%; improved print accuracy 50%.
SDET
- Automated device testing in Python, halving test cycles; validated Kafka pipelines and REST APIs across 10M+ transactions.
- Surfaced 50+ critical bugs pre-release, cutting post-release issues 20%.
Product Analyst
- Revamped the React frontend: +20% traffic, −40% production bugs; Cypress automation lifted coverage 35%.
Project register
P-001 — P-015 · Selected 7 + shelf
Video Generation Pipeline
Idea in, finished cinematic video out. Multi-phase agentic pipeline with per-atom review gates and cross-family LLM-as-judge. Millions of impressions a month.
Syto Studio
Human-machine interface for biomedical 3D printers, used in organ-regeneration research. Computer-vision QC, 0.02 mm auto-calibration.
Agentic RAG for Natural-Language SQL
Conversational agent turning natural language into safe SQL: memory, error recovery, injection protection.
Policy Compare
AI-powered policy comparison that helps regular people understand 50-page loan documents. Built after watching my parents lose hours to bank PDFs.
AgentVC
AI-powered pitch practice platform where founders rehearse against a simulated investor. Live demo shipped, insights from 50+ real investor conversations baked into the feedback logic.
Parameter Golf Autoresearch
OpenAI Model Craft Challenge: built an autonomous research agent that runs hyperparameter sweeps, scores candidates against the frontier, and decides what to test next. RTX 4060 for iteration, 8xH100 via RunPod for finals.
Yelp AI Review Classifier
Fine-tuned DistilBERT plus local Qwen3-8B for zero-cost sentiment classification. 81% accuracy with a domain-shift analysis that mattered more than the headline number.
Toolbox
Grouped by domain · Depth inferred from the work
Agentic Systems
The core practice: orchestrating models that plan, act, and get judged.
Regulated Systems
Regulated money. Every write leaves a trail.
Multimodal & Speech
Pixels, frames, and voice as one pipeline.
Infra
The substrate everything above runs on.
Consumer Apps
Where the work meets a user.
Say hello
Interested in new opportunities, short scope advisory, or a genuine conversation about AI engineering. Send a short note with what you’re working on, and I’ll reply within a day.