yashwadgave!

Yash@MacBook — Terminal

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I love working through messy systems/workflows and stick with them until they work in prod!

Reach out to me on Twitter and see my work on GitHub.

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✱AI Engineer @ Square Yards

Nov 2025 — Present • Mumbai

-Built custom MCP servers that power 4+ internal AI apps along with ChatGPT app and Claude connectors, contributing an additional 4% lead acquisition channel.

-Revamped existing platform to a ChatGPT-like real estate AI platform with persistent memory, dynamic user context, and worked on custom harnesses to properly route to RMs and Sales team, increasing lead conversion from ~6-7% to 15%.

-Worked on a post-call analysis flow for AI calling agents to identify RCAs of these voice agents and improve qualified lead identification from conversational data.

✱Founder/CTO @ Tisac AI Technologies

May 2023 — Oct 2024 • Hybrid

-Built enterprise AI tools for data labeling, model training/deployment, and Slack-based customer support workflows.

✱Data Science Intern @ TruBoard Partners

Jan 2022 — Jun 2022 • Mumbai

-Built solar power prediction models and loan-document extraction workflows using Python, scikit-learn, and Azure OCR.

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Open Office XML Edit Infra(AI/Document Infra)

Built infrastructure for reliable agentic Office document editing by converting PPTX/OOXML files into canonical graph representations and applying deterministic document mutations. Solves the reliability gap in automated white-collar document workflows through structure-aware transformations, layout-preserving edits, and render validation for long-tail document operations where current AI fails (last 10% editing) to perform actions accurately.

AI Agent Runtime Audit and Governance SDK(AI/Compliance)

Built a Python SDK for auditing and governing AI agent runtimes by capturing execution events, enforcing policies and guardrails, redacting sensitive data, and generating tamper-evident evidence packs with hash-linked integrity for compliance review and operational oversight. Open-sourced it with Apache-2.0 license.

Memory-engine(AI/Memory)

Built an experimental memory framework for LLM agents to store, retrieve, decay, and reason over long-term memories using SQLite-backed local storage. Added cleanup logic that can rewrite, invalidate, and remove stale memories to keep context useful and redundancy-free.

Agentic Coding Tool(DevTools/Agents)

Built a Python coding assistant with sandboxed shell execution, file tools, streaming OpenAI responses, persistent sessions, and path validation for safer agent workflows.

Operating System Language Model(AI/Systems)

Built a custom OS-focused language model in PyTorch for command-aware assistance, with a guarded training pipeline, tokenizer, CLI, and FastAPI runtime.

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✓[CREDENTIAL] Analyze Datasets and Train ML Models using AutoMLVERIFIED

source:Coursera

verify:[BZ75BTL4VD9Z]

✓[CREDENTIAL] Build, Train, and Deploy ML Pipelines using BERTVERIFIED

source:Coursera

verify:[3STZG4V889HW]

✓[CREDENTIAL] Optimize ML Models and Deploy Human-in-the-Loop PipelinesVERIFIED

source:Coursera

verify:[LYMJFK9LAKMG]

✓[CREDENTIAL] Practical Data Science on the AWS CloudVERIFIED

source:Coursera