Ankush Sharma
Agentic & Generative AI | Telecom AI & Standards Intelligence | AI for Large-Scale Classification & Semantic Mapping | LLM Applications & Knowledge Graphs | Predictive Risk Modeling
- Role
- Subject Matter Expert at Clarivate
- Location
- Chandigarh, CH, IN
- LinkedIn followers
- 500 followers
About Ankush Sharma
Strong domain expertise in Electrical and Communication technologies applied to AI research, including Semiconductors, 3G/4G/5G systems, and emerging 6G standards, with experience building ML models on complex telecom and hardware datasets.Proficient in developing AI/NLP solutions for wireless communications, network architecture, radio access networks (RAN), IoT ecosystems, and telecommunications protocols. Additional exposure includes semiconductor devices and circuits, optical communication, active noise control systems, solid-state electronics, additive manufacturing, and AI applications in diagnostic and surgical technologies. Experienced in designing LLM-driven semantic mapping systems, automated evidence extraction pipelines, and predictive analytics frameworks to support large-scale technical intelligence, risk modeling, and strategic decision-making across telecom and advanced technology domains. Passionate about advancing AI-driven innovation at the intersection of telecommunications, deep learning, and large-scale technical knowledge systems.
Experience
Subject Matter Expert
Apr 2023 — Present · IN
Skilled AI research professional with expertise in large-scale dataset reclassification, LLM-based semantic mapping (including MPEG/audio-video codec datasets), automated relevance detection, and structured evidence extraction pipelines.* Led end-to-end AI-driven classification and analytics projects involving deep technical data analysis; managed stakeholder communication and directed teams of 15–20 members to deliver high-quality, production-ready solutions.* Executed multiple AI landscape modeling and predictive analytics initiatives; prepared detailed, insight-driven reports with actionable recommendations for research, product, and strategy stakeholders.* Designed and assigned structured taxonomy labels and metadata schemas to sensitive, proprietary technical datasets to enhance model training and retrieval performance.* Communicated model validation feedback, performance metrics, and daily analytics dashboards using Python and Excel-based reporting frameworks.* Continuously expanded expertise in AI classification architectures, government-scale taxonomy systems, and standards-based data structuring methodologies.* Conducted AI-focused research across scientific domains including medical diagnostics, surgical technologies, identification systems, additive manufacturing, organic solid-state electronics, electrophoretic processes, endoscopic instrumentation, and advanced printing technologies.* Assisted in developing and evaluating training datasets and facilitated follow-up technical sessions on AI-driven classification and semantic modeling workflows.* Collaborated with training and operations teams to refine standard operating procedures, optimize model workflows, and mentor new analysts in AI-based data processing frameworks.
Education
Punjab Engineering College
Master's degree, Electrical, Electronics and Communications Engineering
2017 — 2019
Indian Institute of Science - IISc
Advance Postgraduate, GenAI and Prompt Engineering
Chandigarh College of Engineering & Technology,
Bachelor of Engineering (B.E.) and D, Electrical and Electronics Engineering
2013 — 2017
GMSSS, Sector 10 Chandigarh
1st to 10th
2001 — 2010
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