
Keerti Vijay Ananth
@keertivijayananth
I build resilient distributed systems and AI-powered data products.
What I'm looking for
At Motorola Solutions, I'm engineering a proof of concept for fault-tolerant distributed infrastructure, validating continued service under simulated multi-node failures. I also design CI/CD workflows to evaluate resilience and failover behavior in high-availability architectures.
At BVK Exports, I built Python data pipelines with Pandas and NumPy that reduced processing time by 40%, applied clustering and segmentation to improve targeting efficiency by 30%, and optimized SQL-driven dashboard workflows.
I've built AI products including LLM Cost Autopilot, which reduced LLM API costs by 43%, and TrialLens, a clinical-trial intelligence tool using LangGraph, Llama 3.3, ClinicalTrials.gov, and openFDA APIs. My work spans Python, FastAPI, Scikit-Learn, Docker, cloud deployment, and production-focused machine learning systems.
Experience
Work history, roles, and key accomplishments
Engineered a Proof of Concept for a fault-tolerant distributed infrastructure system, validating continued service operability under simulated multi-node failure scenarios. Designed and executed CI/CD pipeline workflows to assess system resilience and failover behavior across degraded operational conditions.
AIML Data Analyst Intern
BVK Exports
May 2025 - Jul 2025 (2 months)
Built Python-based data pipelines using Pandas and NumPy to clean and structure multi-source datasets, reducing processing time by 40%. Applied machine learning techniques to uncover customer patterns, improving targeting efficiency by 30%.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
Bachelor of Technology, Computer Science
2022 -
Grade: 8.65 CGPA
Activities and societies: Presented a paper at ICINVENTS-25, SKCET.
Pursuing a B.Tech in Computer Science with a focus on Health Informatics, maintaining a CGPA of 8.65.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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