Professional Overview
Senior Software Architect with 19+ years of experience designing AI systems using Agentic AI, RAG, NLP and classical machine learning models. Having an experience in building and deploying production-grade multi-agent platforms for financial analysis, trading strategy evaluation, and generative AI workflows on GCP. Technology: Langgraph, Python
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Owns the architecture of AI Financial Research Platform and deployed on GCP
- Designed end-to-end full-stack Agentic system with user-facing interface
- Translate business problems into technical architecture
- Implement model routing strategies
- Define observability metrics
Key Achievements / KPIs
- Production grade AI agent platform for end-to-end financial research
- Accepts user queries in natural language and perform research analysis
- Users save 10 manual hours in researching, backtesting trading startegies
- Optimized for latency under 45 secs in heavy research oriented tasks
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Engineered a full-stack generative AI platform using prompt engineering
- Designed LLM-driven workflow pipeline for prompt optimization
- Developed image processing pipeline
- Built multi-model orchestration layer integrating OpenAI,Claude and Nano Bananna
- Deployed containerized backend using FastAPI on GCP Cloud Run
Key Achievements / KPIs
- Optimized for high accuracy by integrating Claude API for prompt enhancement
- Optimized for latency under 10 seconds to generate images
- Currently running on GCP. URL:prompttoimg.com
Education
Field of Study: Computer Science
Areas of Expertise
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
