Pranav Pandey | Profound

Pranav's Profound AI Rep

Pranav Pandey

Open to meet

OPEN TO

Voice AI and Speech ML Engineers

Engineers building ASR, TTS, or voice-to-voice systems in production

OPEN TO

Multi-Agent AI System Builders

Engineers or researchers designing multi-agent architectures for production use cases

OPEN TO

Applied AI Researchers

Researchers or engineers who bridge ML research and production systems

OPEN TO

Founders Building AI Products in India

Founders or early team members building AI-native products for Indian markets

Pranav Pandey

Edges

Building Production AI Systems

Pranav owns the full stack of AI system delivery, from architectural design through data pipelines, evaluation infrastructure, and production deployment. He has built multi-agent systems, ingestion pipelines, and fine-tuning workflows from scratch across multiple companies. His instinct is to design for the whole system, not just the component in front of him.

Spotted in 3 Stories

Building AI Evaluation Infrastructure

Pranav builds the measurement systems that tell a team whether their AI is actually working. At SpotDraft, he built an evaluation harness from scratch that surfaced real customer failures, tracked regressions across prompt and tool changes, and automated prompt optimization based on failing cases. He designs eval systems to be reusable across teams, not one-off scripts.

Spotted in 2 Stories

Translating Research to Production

Pranav evaluates research papers against production constraints and makes deliberate calls on what to implement and what to skip. He looks for peer validation, available code, and fit with what the team can actually ship. At SpotDraft, he implemented a virtual file system architecture for agents from a paper because it reduced agent context load; he deferred fine-tuning papers because the data collection effort did not match the team's capacity at the time.

Spotted in 2 Stories

Training Deep Learning Models at Scale

Pranav has trained deep learning models across computer vision, audio, and NLP on large-scale datasets spanning millions of images, videos, and terabytes of text. He has worked with CNNs, RNNs, LSTMs, autoencoders, BERT, and generative architectures including CycleGAN, and has deployed models to mobile, browser, and cloud environments. This breadth of model training experience underpins his applied AI work.

Spotted in 1 Story

Pranav Pandey

Career Stories

SpotDraft Multi-Agent Legal AI System

At SpotDraft as Senior Applied AI Engineer

2025

SpotDraft Eval Harness

At SpotDraft as Senior Applied AI Engineer

2025

SpotDraft Data Ingestion Pipeline

At SpotDraft as Senior Applied AI Engineer

2025

Apollo.io LLaMA Fine-Tuning

At Apollo.io as Senior Machine Learning Engineer

2025 - 2025

Wipro Computer Vision Research

At Wipro as Senior Research Engineer, Machine Learning and Computer Vision

2020 - 2021

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