MANISH
BEESETTI
Building scalable cloud systems, real-time data pipelines, and AI-powered products. 5+ years turning complex architecture into production-ready solutions.
I build at the intersection of cloud architecture, data engineering, and AI. From recommendation engines to high-performance data pipelines and microservices, I turn complex distributed problems into clean, scalable production systems with a focus on long-term correctness.
Senior Software Engineer
TOTAL WINE & MORE — BOCA RATON, FL
Architected a greenfield data pipeline reducing Bloomreach feed generation time from 12 hours to 5 minutes (>140x improvement) supporting 4.7M+ items using BigQuery and Argo Workflows
Designed and built a reusable Go-based SDK to standardize Kibo Commerce integrations, reducing development time for downstream teams by 50%
Spearheaded the platform migration from legacy SAP Hybris to Kibo Commerce, engineering data pipelines to migrate 450,000+ products and 100M+ store-level attributes across 300+ retail locations
Built AI-powered cocktail recommendation system using Microsoft Prompt Flow, directly driving product sales
Managed a cross-functional engineering pod, mentoring junior developers and coordinating sprint planning to deliver features on schedule
Software Developer
CONFIDENTIAL — PLANO, TX
Designed data pipelines with image preprocessing and AI model training on Prompt Flow
Cut recommendation latency from 500ms to 50ms through optimized pipeline architecture
Led collaborations with data scientists and financial experts to profile data, identify patterns, and resolve quality issues
Built RESTful APIs with Flask serving investment recommendations to frontend applications
Managed project deliverables across data science and engineering teams, facilitating stakeholder communication and prioritizing backlogs
Software Engineer
SHOPTELLIGENCE — ANN ARBOR, MI
Built Data Fusion pipeline for personalized email templates, significantly boosting email open rates
Designed and maintained 30+ data pipelines in Cloud Data Fusion and Apache Airflow
Created 10+ Looker Studio dashboards improving visibility for cross-functional teams
Developed secure APIs using Apigee Edge and GTM/GA tracking implementations
Coordinated pipeline development efforts across teams, tracking progress and mentoring peers on Data Fusion best practices
Software Developer
EAGL TECHNOLOGY — ALBUQUERQUE, NM
Developed iOS & Android security apps, cutting maintenance budget by 40%
Built real-time security dashboard with React + MapBox for geospatial device visualization
Integrated Twilio API for automated security alerts via calls and text messages
Implemented emergency escape route adapters enhancing building safety infrastructure
Led a small development team, managing task allocation and code reviews to ensure timely app releases
BLOOMREACH DATA FEED ARCHITECTURE
Centralized transformation layer processing 130+ business-logic attributes for 4.7M+ store items. Reduced feed generation time from 12 hours to 5 minutes (>140x improvement) for real-time personalization.
AI COCKTAIL RECOMMENDER
AI-powered system recommending cocktails based on user preferences, driving product sales by suggesting required ingredients.
WIFI PLACEMENT OPTIMIZER
Data-driven router placement system using KNN, SVM, Random Forest, and Gradient Boosting to predict optimal hot-spot positions within building blueprints, eliminating dead zones.
SMART SECURITY DASHBOARD
Real-time security dashboard with geospatial visualization, gunshot detection, and automated emergency alerts across platforms.
MASTER'S IN COMPUTER SCIENCE
UNIVERSITY OF DAYTON — DAYTON, OH
BACHELOR'S IN COMPUTER SCIENCE
GVP COLLEGE OF ENGINEERING — VISAKHAPATNAM, IN
HUMAN BEHAVIOR ANALYSIS USING COMPUTER VISION
Developed an intruder detection system using front-door surveillance with C3D models trained on annotated video sequences. Combined action recognition and scene recognition for real-time anomaly classification.
VIEW PUBLICATIONDesigned data architecture, orchestrated pipelines, and built APIs integrating with enterprise third-party vendors and institutions.
Live contribution activity
@Mbeesettitw →LET'S WORK
TOGETHER
Whether it's a complex data pipeline, cloud migration, or an AI-powered product — I'd love to hear about your next project.