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AI Engineer with 5+ years in Agentic AI Systems & Data Platforms
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Assessing your cultural and operational fit
AI Engineer with 4+ years building production-grade agentic AI systems, RAG pipelines, and enterprise financial data platforms for global clients including Sony R&D. Specialized in LLM integration (OpenAI GPT, Claude), NLP automation, fraud/anomaly detection, and fintech data engineering. Proven track record delivering measurable impact – 90% reduction in manual effort, sub-minute financial reporting from days-long processes, and 95%+ OCR accuracy in production. Available immediately in Dubai.
IISER Thiruvananthapuram (Indian Institute of Science Education & Research)
Integrated BS-MS Dual Degree · Biology with Analytics (Data Science & Genetics Focus)
August 1, 2015 – June 30, 2020
Accelnomics Technologies Pvt. Ltd.
AI Software Engineer
November 1, 2023 – March 1, 2026
Bengaluru, Karnataka, India
Daehan Automation India Pvt. Ltd.
Data Analyst
March 1, 2022 – September 1, 2023
Bengaluru, Karnataka, India
IISER Thiruvananthapuram
Junior Research Fellow
September 1, 2020 – December 1, 2021
Thiruvananthapuram, Kerala, India
Certificate of Excellence
Accelnomics Technologies
June 1, 2026 – Present
HackerRank Certified: Python, Problem Solving, SQL (Basic, Intermediate & Advanced)
HackerRank
June 1, 2026 – Present
Natural epialleles of Arabidopsis SUPERMAN display superwoman phenotypes
Communications Biology, Nature Portfolio
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's experience spans diverse domains including fintech, enterprise automation, and data analytics, indicating adaptability and a broad interest in applying AI solutions. Their work on projects like Sony R&D's financial data warehouse and enterprise AI automation platforms suggests an ability to work with large-scale, complex systems and collaborate with various stakeholders. The publication in 'Communications Biology' also highlights a research-oriented mindset and a commitment to academic rigor, which can be valuable in an innovative AI engineering environment. The candidate's background in biology with analytics provides a unique interdisciplinary perspective.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project descriptions, particularly in identifying and resolving bottlenecks (e.g., hardware issues in ITSM, manual data entry). Their experience in designing and deploying interactive dashboards suggests good communication and presentation skills for technical insights. The ability to work on diverse projects (financial data, enterprise automation, ticket listing) indicates adaptability and a proactive approach to operational challenges. The candidate's experience in architecting scalable solutions and automating processes points to a focus on efficiency and reliability.