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shubham chitte

@shubhamchitte

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I build high-performance AI systems for finance, vision, and enterprise automation.

India

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At Condor AI, I lead a five-member AI/Data Science squad building AI and LLM-driven analytics for equities and crypto, improving signal-to-trade efficiency by 22%. I also deploy optimized vision and multimodal systems for real-time SKU counting, invoice parsing, and shipment reconciliation on edge hardware.

Previously at ISB and IISER Bhopal, I built large-scale research data pipelines, fine-tuned LLMs, and developed RAG and machine-learning systems for technical-debt evaluation and geospatial classification. I write custom CUDA kernels and optimize GPU inference with TensorRT, vLLM, and ONNX.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Condor AI

Apr 2025 - Present (1 year 5 months)

Led a 5-member AI/Data Science squad to build AI/LLM-driven analytics pipelines for SP500, Nasdaq, and top-tier crypto, boosting signal-to-trade efficiency by 22%. Developed reinforcement-learning backtests and deployed fine-tuned LLM ensembles for sentiment analysis and anomaly detection.

Python LLM RAG Reinforcement Learning Stable Baselines3 GPT 4 LLaMA 3 TensorRT Onnx VLLM Docker REST APIs Computer Vision NVIDIA Jetson Cortex Qwen

Data Scientist

Indian School of Business (ISB)

Feb 2024 - Apr 2025 (1 year 2 months)

Built scalable data pipelines to process 10 TB+ of datasets via web scraping and API integrations. Fine-tuned LLMs and engineered RAG frameworks for Agentic AI evaluation of technical debt in open-source repositories.

Researcher

IISER Bhopal

Jul 2022 - Jul 2023 (1 year)

Analyzed terabytes of satellite data and developed ML models to classify geological features, achieving 92% prediction accuracy. Collaborated with cross-functional teams to integrate machine learning solutions into existing workflows.

Python Machine Learning XGBoost Random Forest Satellite Data SRTM Sentinel 1 Data Analysis