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Edward Praveen

@edwardpraveen1

AI/GenAI Architect at Agilisium Consulting, architecting a Qdrant-based RAG platform for Life Sciences document generation.

India

Message

At Agilisium Consulting, I architect AI/GenAI solutions for enterprise Life Sciences work, including an AI-powered document intelligence and generation platform. I designed its Qdrant-based RAG knowledge layer to retrieve regulatory, technical, and enterprise evidence for domain-specific reports.

Previously at Agilisium Consulting, I architected and delivered a multi-agent biomarker intelligence platform that gave hundreds of users conversational access to biomarker and clinical research data. Its secure Text2SQL and retrieval workflows helped reduce analytics turnaround time from hours to minutes.

Earlier, I built machine learning and data solutions at Axlerate Futuretech (Part of Ruah Group) and Ruah Tech Solutions Pvt Ltd, including document onboarding automation and ticket classification. At Lycatech Services Private Limited, I led fraud analytics across 21 countries and developed solutions that automated approximately 80% of fraud detection workflows.

Experience

Work history, roles, and key accomplishments

Current

Architect – Solution Experience Labs

Current

Agilisium Consulting

Apr 2026 - Present (6 months)

Lead AI/GenAI solution architecture across enterprise Life Sciences engagements, translating business and technical requirements into scalable AI architectures and implementation roadmaps. Guide engineering teams through architecture reviews, PoC implementation, and production transition.

AWS Python fastAPI LLM RAG Vector Databases PostgreSQL Docker CI CD Observability Solutions Architect Technical Pre Sales RFP Solutioning Technology Evaluation

Senior Machine Learning Engineer

Agilisium Consulting

Dec 2023 - Mar 2026 (2 years 3 months)

Architected and delivered a production-grade multi-agent biomarker intelligence platform, designing an Agent Mesh for intent understanding, data discovery, Text2SQL, and analytical reasoning. Implemented secure Text2SQL with validation and guardrails, and built automated study onboarding pipelines.

Multi Agent Systems Text2SQL RAG AWS S3 RDS AWS Glue Vector Search Keycloak RBAC Amazon EKS Docker Helm GitLab CI CD OpenTelemetry AWS X Ray Prometheus Grafana

Associate Data Scientist

Axlerate Futuretech

Jun 2023 - Dec 2023 (6 months)

Built ML models using Azure Form Recognizer, reducing onboarding time from 8-10 minutes to approximately 1 minute. Designed Streamlit + Kafka + MongoDB workflows and developed KPI dashboards saving approximately 17 hours per week.

Azure Form Recognizer Streamlit Kafka MongoDB Airflow Databricks Parquet ETL

Associate Data Scientist

Ruah Tech Solutions Pvt Ltd

Jan 2022 - Jun 2023 (1 year 5 months)

Built an ML-based ticket classification system reducing backlog by approximately 65%. Processed approximately 1,200 audio files using WhisperX and developed multilingual NLP systems using transformer models.

Machine Learning WhisperX NLP Transformers AWS Lambda Serverless

Lead Analyst

Lycatech Services Private Limited

Oct 2014 - Jan 2022 (7 years 3 months)

Led fraud analytics across 21 countries, monitoring and analyzing 1M+ daily transactions per market. Developed predictive analytics and ML solutions automating approximately 80% of fraud detection workflows.

Fraud Analytics Predictive Analytics Machine Learning Data Analysis

Architect – Enterprise Document Generation Platform

Agilisium Consulting

Architecting an enterprise AI-powered Document Intelligence and Generation platform for a Life Sciences/CRDMO client, designing end-to-end architecture for document processing, semantic retrieval, LLM orchestration, and generation workflows. Addressed retrieval challenges across 100K+ documents and designed hybrid retrieval combining semantic search and structured data.