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abhi_kumar92

Abhishek D

@abhi_kumar92

AI Engineer

India
Hindi, Inglese
Alcune informazioni sono riportate in lingua inglese.
Chi sono
Data and AI professional with 8+ years of experience in risk analytics and enterprise data operations. Experienced in building and deploying AI solutions including intelligent agents, LLM-based workflows, and data pipelines that cut down manual work and support faster, smarter decision-making. Grounded in predictive analytics, risk and compliance monitoring, and cloud-based data engineering, with a track record of delivering practical AI systems that create real business impact.... Continua a leggere

Competenze

a
abhi_kumar92
Abhishek D
offline • 
Tempo di risposta medio: 1 ora

Consulta i miei servizi

Programmazione e tecnologia
I will build web design, ai development and custom apps
A partire da125 USD / progettoMaggiori dettagli

Esperienza lavorativa

Teleperformance

Assistant Manager - Risk Analytics & AI Engineer

Teleperformance • Full time

Jul 2017 - Nov 2025 • 8 yrs 4 mos

• Designed and deployed production-grade AI systems including RAG pipelines, LLM evaluation frameworks (RAGAS), and automated PDF-to-JSON ingestion workflows using LangChain, Gemini 2.5, and ChromaDB — reducing hallucinations by 35%. • Built and integrated AI solutions with GCP, Vertex AI, and OpenAI API infrastructure, incorporating semantic caching and model evaluation pipelines to ensure reliability and performance at scale. • Led fraud detection and risk analytics across large-scale transactional datasets using SQL and Python, applying predictive modeling and anomaly detection techniques to reduce false positives and systemic vulnerabilities. • Developed automated Power BI dashboards and KPI reporting systems for compliance monitoring, operational metrics, and risk visibility across business functions. • Conducted Security Risk Assessments, root cause investigations, and audit reviews — maintaining data integrity and reporting consistency across analytics and compliance projects. • Collaborated cross-functionally with IT, operations, and data engineering teams to automate workflows, streamline processes, and drive measurable improvements in operational efficiency.