Nikhil John

Director of Engineering

Mumbai, Maharashtra, India15 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in cloud-native architecture and migration.
Led digital transformation initiatives across global markets.
Developed ML-driven solutions for retail analytics.

Stackforce AI infers this person is a Cloud and AI/ML expert specializing in digital transformation and enterprise solutions.

Contact

Skills

Core Skills

Cloud ComputingManaged ServicesDigital TransformationPartnership StrategyProduct DevelopmentMachine LearningAi/mlSupply Chain Optimization

Other Skills

AnalyticsAutomated OperationsBusiness DevelopmentCRMCloud InfrastructureContact Center AICost OptimizationCustomer Journey OptimizationCustomer Relationship Management (CRM)Database ModernizationDemand ForecastingDemand GenerationEnterprise SoftwareMarket ExpansionMarketing Automation

About

At Searce Inc, our team excels in providing global cloud managed services, leveraging our expertise in cloud native architecture and cloud migration to support the largest retail, healthcare, banking, financial services, insurance, and e-commerce companies. With over a decade of experience in the tech industry, my focus has been on driving growth through strategic partnerships and innovative cloud solutions. Previously at Royal Cyber Inc, we developed and managed a robust cloud practice, cultivating a team skillful in DevOps, data engineering, and ML Ops. Our success stems from a shared mission to act as an extension of our partners, enabling them to adopt and independently operate the capabilities we've built together. My role is to ensure that we stay at the forefront of cloud technology, fostering relationships that transform our partners' digital landscapes.

Experience

Searce inc

Director Cloud Security and Reliability

Aug 2022 – Present · 3 yrs 7 mos · Mumbai, Maharashtra, India · On-site

Leading comprehensive enterprise client transformation through managed cloud services and process optimization
Enterprise Client Management:
End-to-End Transformation: Managing complete cloud journeys for enterprise clients across their entire technology stack
Managed Services Leadership: Overseeing cloud operations, monitoring, and optimization for diverse enterprise portfolios
Process Reengineering: Transforming client business processes through cloud-native approaches and intelligent automation
Client Success: Ensuring measurable business outcomes through strategic cloud adoption and operational excellence
Technical Service Delivery:
🔸 Multi-Cloud Operations: Managing complex enterprise workloads across AWS, Azure, and Google Cloud platforms
🔸 Automated Operations: Implementing CloudOps and AIOps for proactive monitoring, auto-scaling, and incident management
🔸 Cost Optimization: Achieving 25-30% infrastructure cost reduction through right-sizing, reserved instances, and automation
🔸 Security & Governance: Establishing enterprise-grade security frameworks and compliance management across cloud environments
Transformation Leadership:
🔸 Client Partnership: Working directly with C-suite executives on strategic technology roadmaps and business outcomes
🔸 Team Coordination: Leading cross-functional teams serving multiple enterprise accounts simultaneously
🔸 Innovation Implementation: Deploying cutting-edge solutions including AI/ML, containerization, and serverless architectures

Cloud ComputingManaged ServicesProcess OptimizationMulti-Cloud OperationsAutomated OperationsCost Optimization+1

Royal cyber inc.

Chief Growth Officer

Feb 2021 – Mar 2022 · 1 yr 1 mo · Mumbai, Maharashtra, India

Led post-pandemic digital transformation initiatives and partnership strategies across global markets
Post-Pandemic Business Leadership:
Digital Acceleration: Capitalized on accelerated cloud adoption trends as organizations prioritized digital transformation
Partnership Strategy: Managed strategic alliances and vendor relationships to deliver comprehensive digital transformation solutions
Global Team Building: Established and scaled technical teams across Middle East and US geographies to serve regional markets
Market Expansion: Developed business presence in Saudi Arabia and UAE markets during digital economy growth phase
Center of Excellence Development:
🔸 Telecom Transformation: Built comprehensive CoE for major Canadian telecommunications company digital transformation
🔸 Database Modernization: Architected database strategy moving from legacy systems to cloud-native, distributed architectures
🔸 Security Rethinking: Implemented zero-trust security frameworks and identity management for telecom infrastructure
🔸 Business Outcome Focus: Aligned all technical initiatives with measurable business KPIs and customer experience improvements
Digital Commerce & Cloud Strategy:
🔸 Customer Journey Optimization: Accelerated enterprise cloud adoption by aligning with natural digital transformation trends
🔸 Resource Orchestration: Assembled right-fit technical talent and cloud expertise for complex transformation programs
🔸 Regional Expertise: Successfully delivered solutions for Saudi and UAE enterprise clients navigating digital economy initiatives

Digital TransformationPartnership StrategyMarket ExpansionDatabase ModernizationSecurity RethinkingCustomer Journey Optimization

Transcloud labs

Founder

Feb 2020 – Feb 2021 · 1 yr · Greater Bengaluru Area

Built product development practice focused on retail analytics and ML-driven conversion optimization
Product Development Leadership:
Retail Analytics Enhancement: Developed ML models improving retail client analytics capabilities and customer journey optimization
CRM Conversion Models: Built machine learning algorithms increasing cart conversion rates through intelligent recommendation engines
Aampe Partnership: Architected early-stage product for Aampe's baseline propensity and treatment exposure platform, enabling conversion optimization with reduced discount dependency
Analytics Product: Developed cloud-native URL shortener handling 100M+ API calls with comprehensive analytics and tracking capabilities
Technical Architecture:
🔸 High-Scale Cloud Design: Engineered cloud infrastructure supporting massive API volumes with sub-second response times
🔸 ML Model Development: Implemented conversion optimization algorithms and customer propensity scoring systems
🔸 Big 4 Collaboration: Liaised with major consulting firms to develop analytical products for tier-1 banking institutions
🔸 Production Scaling: Successfully transitioned multiple POCs to production-ready solutions serving enterprise clients

Product DevelopmentRetail AnalyticsMachine LearningCloud Infrastructure

Pluto7

Chief Growth Officer

Apr 2017 – Feb 2020 · 2 yrs 10 mos · Bengaluru, Karnataka, India

Led AI/ML-driven supply chain optimization and demand forecasting solutions with comprehensive POC-to-production delivery
Supply Chain AI & Analytics:
Demand Forecasting Models: Architected time-series forecasting using ARIMA, Exponential Smoothing, and ensemble methods for retail and CPG clients
Supply Chain Planning: Developed K-Nearest Neighbors (KNN) and collaborative filtering models for inventory optimization and demand sensing
Reverse Supply Chain: Implemented computer vision models using TensorFlow for identifying product defects and return processing automation
Marketing Analytics: Built customer segmentation using K-Means clustering and nearest neighbor algorithms for targeted campaign optimization
Contact Center AI & Automation:
🔸 CCAi Implementation: Deployed Contact Center AI solutions using Natural Language Processing for automated customer service workflows
🔸 Call Automation Tools: Architected speech-to-text and sentiment analysis pipelines using Google Cloud Speech API and custom NLP models
🔸 Intent Recognition: Developed classification models using Support Vector Machines (SVM) and Naive Bayes for automated call routing
🔸 Performance Analytics: Built real-time dashboards tracking agent performance, customer satisfaction, and resolution metrics
Architecture & Production Delivery:
🔸 POC to Production: Led end-to-end delivery from proof-of-concept development to enterprise-scale production deployments
🔸 Model Development: Built ensemble models combining Random Forest, Gradient Boosting, and Neural Networks for demand prediction
🔸 Computer Vision Pipeline: Architected image processing workflows using OpenCV and TensorFlow for reverse logistics automation
🔸 Scalable ML Infrastructure: Designed cloud-native ML pipelines handling millions of transactions and real-time prediction serving