
Tushar Sharma
Gen AI Engineer
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Experiência profissional
Data Scientist
Upwork • Freelance
Apr 2023 - Present • 3 yrs 6 mos
Data Scientist — Techfour Engineering Solutions Pvt. Ltd. Feb 2025 – Present Develop AI/ML and Generative AI solutions. Work on RAG, LLMs, AI agents, NLP, computer vision, and intelligent automation. Build production-oriented AI systems and document intelligence solutions. GenAI / AI Engineer — Black Basil Technologies Apr 2023 – Feb 2025 Developed Generative AI, NLP, speech AI, and conversational AI solutions. Worked with LLMs, LangChain, LangGraph, RAG, PyTorch, TensorFlow, and AWS. Key Achievements Improved Text-to-Speech speech naturalness by 7% MOS using Glow-TTS + HiFi-GAN. Built a Speech Emotion Detection model achieving 84% accuracy using Transformers. Improved retail sales forecasting MAPE from 22% to 11% using XGBoost and time-series feature engineering on 50M+ transactions. Built an intelligent PDF Q&A system processing 25K+ pages of technical and regulatory documents. Received Innovator of the Quarter award for contributions to speech projects. Major Projects Agentic RAG & Conversational AI — Built LangChain-based RAG and SQL-agent systems with multi-step reasoning, tool use, and self-reflection. Enterprise Document Intelligence / PDF Q&A — Developed OCR and non-OCR pipelines for complex documents, tables, images, and multi-column layouts with vector retrieval and LLMs. HRMS Policy & Data Agent — Created an AI system combining natural-language SQL with policy Q&A for employee, attendance, leave, and HR data. Retail Sales Forecasting — Built a Databricks/PySpark ML pipeline processing 50M+ transactions and improved MAPE from 22% to 11%. CAD Drawing Area Analysis — Developing an OCR/computer-vision solution to automatically detect rooms/zones and calculate area from architectural drawings. Text-to-Speech — Developed an end-to-end Glow-TTS + HiFi-GAN pipeline with scalable AWS training and audio-quality analysis. Speech Emotion Detection — Developed a Transformer-based speech emotion model with 84% accuracy and supporting annotation/visualization tools.