Results-driven professional with 5+ years of global experience bridging performance marketing, analytics, and AI product development. From driving high-ROI campaigns to engineering multi-agent AI platforms like SwarmOps, I specialize in data-driven strategies that maximize brand growth.
Multi-Agent AI Marketing Automation Platform.
Google, Simplilearn, Coursera
I don't just run campaigns; I engineer growth engines. With a strong foundation in AI and Analytics, I bridge the gap between creative marketing and hard data science.
"GA4 & GTM", "Google/Meta Ads", "HubSpot",
"SQL & Python", "Looker Studio", "Power BI",
"Tech SEO", "Multi-Agent AI", "React & Streamlit",
"Prompt Eng", "LLM APIs", "A/B Testing"
Vozalt Digital Agency | Bicester, UK
Managed high-budget Google and Meta campaigns across the UK, India, and UAE. Improved lead volumes while significantly reducing CPA through data-driven segmentation and robust GA4/Pixel attribution frameworks.
Fortray Global Services Ltd | London, UK
Executed highly optimized SEM and Meta campaigns, generating 1,250+ monthly inquiries and 5.3x ROAS. Engineered GA4 conversion tracking systems to accurately measure and boost cross-channel performance.
Run Data Ltd | UK (Remote)
Implemented complex GTM architectures for Shopify eCommerce stores. Configured advanced GA4 and Meta Pixel event tracking to capture user journeys and enhance retargeting accuracy for 20K+ monthly users.
Vibestudies Abroad Education | Hyderabad, India
Architected performance-driven SEO, paid social, and email funnels. Scaled brand visibility and automated lead nurturing workflows, directly driving 160+ international student enrollments.
Samastham InfoTech Services | Hyderabad, India
Directed comprehensive digital marketing strategies for 40+ global B2B/B2C clients. Drove 40% YoY revenue growth via integrated SEO, PPC, and content marketing initiatives.
Developing a full-stack multi-agent AI marketing automation platform with 11 specialized LLM agents.
Building an AI-powered data extraction tool to analyze and simplify complex legal documents.
Rapid prototyping of interactive travel websites using LLM-driven development and live APIs.
Master's Dissertation: Quantitative regression analysis using R on WERS 2004 dataset.
// MULTI-AGENT AI MARKETING PLATFORM (IN PROGRESS)
Marketing workflows (SEO, PPC, CRM, competitive intelligence) are highly fragmented and manual, requiring constant human oversight and multiple disconnected tools.
Developing a full-stack SaaS platform utilizing 11 specialized AI agents to automate marketing workflows. The system features a "Nexus AI" orchestrator that routes complex tasks across multiple LLM providers based on logic and efficiency.
Built with Brand-DNA context extraction and 25+ FastAPI endpoints to ensure scalable, contextual, and automated task execution for modern marketing teams.
AI AGENTS
// AI & DATA EXTRACTION ARCHITECTURE
Legal documents and privacy policies are notoriously complex, leading to cognitive fatigue and blind acceptance of terms.
Developing an AI-powered platform that extracts and processes legal text directly from URLs and PDFs. Engineered an automated pipeline to handle clause analysis, detect risk vectors, and generate plain-language summaries.
Provides interactive visual insights and trust scores, greatly improving user transparency regarding data usage.
MULTI-MODAL AI
// RAPID PROTOTYPING & GEN AI
Travelers need curated, visual guides for destinations like Scotland, South Wales, and Montenegro, but custom web app development is typically slow.
Leveraged Lovable AI and LLM-driven development to rapidly prototype and build fully functional travel itinerary websites. Integrated live weather APIs and interactive mapping systems for dynamic user experiences.
Successfully deployed three separate, production-ready React/TypeScript platforms in record time.
DEPLOYED
// MASTER'S DISSERTATION & STATISTICAL MODELING
A gap existed in understanding how managerial culture directly influences employee job satisfaction and anxiety, moderated by demographic factors.
Adopted a deductive research approach using the WERS 2004 dataset (22,451 observations). Constructed variables for Job Satisfaction, Anxiety, and Managerial Culture (Cronbach's Alpha > 0.8). Conducted Chi-square tests and Linear Regression in R.
Confirmed a strong positive correlation (0.52 coefficient) between managerial culture and satisfaction. The model explained 41.89% of variability (R-squared), proving management style is a critical predictor.
MODEL FIT
Feel free to reach out for collaborations or opportunities.
PPC, Meta Ads, and Display campaigns focused on ROI.
GA4 Setup, GTM Tracking, and Looker Studio Dashboards.
Technical audits, keyword research, and on-page optimization.