Tech Explorer | Architecting Systems | Building with Data & AI
Hi, Iβm Preetam β a hands-on technologist and system thinker with 24+ years of experience across domains like banking, mobility, agri-tech, and solar energy. I enjoy building platforms that solve real-world problems with clean architecture, smart data pipelines, and meaningful ML.
πΉ What I Work On
Domain Experience
- Banking, Financial Services & Insurance (BFSI)
- Smart Mobility & Location Intelligence
- Agricultural and Renewable Energy Analytics
- Retail and PV Analytics
- Enterprise Data Platforms
Focus Areas
- Data & AI Architecture
- Cloud-Native Engineering and MLOps
- Microservices, Event-Driven Systems, and Data Mesh
- Digital Transformation and Governance
- Security and Compliance Architecture
π― Selected Contributions
π οΈ Data & Platform Engineering
Area | Contribution |
---|---|
Data Processing | Built real-time event pipelines for operational scale |
ETL Optimization | Streamlined workflows and reduced compute cost |
Architecture | Designed modular, scalable mesh-based data platforms |
Digital Twin | Enabled solar plant monitoring with IoT-backed twins |
Governance | Rolled out lineage, quality, and auditability frameworks |
π€ ML & AI Systems
- Automated ML pipelines to support deployment at scale
- Designed anomaly detection and predictive analytics solutions
- Engineered features for model stability and interpretability
- Ensured platform uptime through resilient infrastructure design
β‘ Enterprise Architecture Insights
Area | Highlights |
---|---|
Microservices | Scalable architecture for high-throughput systems |
Event-Driven Systems | Decoupled designs using Kafka-style messaging |
Dev Frameworks | Custom Spring Boot toolkits for internal use |
CI/CD & DevOps | Automated workflows using GitOps and pipelines |
Performance Tuning | JVM tuning and reliability enhancements |
Architecture Patterns | CQRS, Event Sourcing, and layered system designs |
Documentation | Maintained ADRs and architectural decision logs |
π§± System Architecture (Birdβs-Eye View)
1 | Enterprise Solutions |
πΊοΈ My Journey (Quick View)
π°οΈ CTO, Datasee.AI (2023βNow)
Leading engineering and data science efforts for drone-based asset monitoring in the solar sector, with a focus on digital twins, ML pipelines, and secure architectureπ¦ Head of Data, Out of the Blue (2021β2022)
Built a modern data stack with orchestration, observability, and semantic layers to support analytics across retail and supply chain domainsπΎ ML Architect, Syngenta (2020β2021)
Designed self-service ML platforms and automated pipelines for agriculture-focused data science teams using cloud-native toolsπΊοΈ Principal Architect, Pitney Bowes (2016β2019)
Worked on location intelligence and geospatial products, enabling solutions for address resolution, route optimization, and risk analysisπ¦ Lead Architect, Tieto (2013β2016)
Led teams delivering IIoT and mobility solutions, established engineering practices, and contributed to architectural decision-making in large-scale systems
π§³ Earlier Roles
π§ Senior Software Architect, Tieto (2010β2013)
Delivered open-source data platforms and big data pipelines for telecom and financial analyticsπ Project Manager / Tech Lead, Wipro (2006β2009)
Built equity research tools, LBO systems, and managed cross-functional delivery teams in BFSI projects across NYC and PuneπΌ Senior Associate, Cognizant (2005β2006)
Architected caching layers and Basel-II core banking modules for major financial clientsπ§ͺ Consultant, Covansys (2003β2005)
Migrated legacy systems to J2EE platforms and optimized performance for investment management appsπ Team Lead, NextBrick / Aikon / Target Systems (1999β2003)
Developed early corporate portals, ERP systems, and embedded integrations across domains including education and engineering
π Highlight Projects
- Digital Twin for Solar: Helped build a system to track alignment and structural deviations using drone-based 3D point clouds
- Banking Risk Platform: Supported development of fraud detection pipelines integrated with transaction data at scale
- Agriculture Data Science: Created tools for analyzing yield patterns and improving decision support for agri-tech teams
- Location-Based Services: Architected APIs for delivering spatial insights in smart mobility and retail platforms
π‘ Work Philosophy
Principle | Approach |
---|---|
Strategy | Align tech with real business needs |
Simplicity | Prefer clean, modular, maintainable code |
Growth Mindset | Stay curious, keep learning |
Collaboration | Build with and for people |
Sustainability | Be mindful of energy and impact |
π§° Tools & Frameworks I Rely On
Framework | Use Case |
---|---|
ATAM | Architecture review & risk mitigation |
TOGAF | Enterprise-wide planning & alignment |
Zero Trust | Security-by-design implementation |
SOC2 | Regulatory compliance readiness |
Design Patterns | Scalable and maintainable systems |
π± Green Tech & Ethics
- Advocate for sustainable engineering practices
- Led initiatives to reduce infra carbon footprint
- Encourage energy-aware architecture decisions
π¬ Letβs Connect
Feel free to reach out for collaborations, mentoring, or just a good tech conversation:
- π§ preetam.balijepalli@gmail.com
- π LinkedIn
- π Website
- π Tech Blog
π¬ Iβm especially interested in conversations around data platforms, geospatial analytics, and drone-based AI systems.
βοΈ Open to collaborations, mentorships, and writing for tech communities.