Jun 2022 – Present · 4 yrs · Bengaluru, Karnataka, India · Hybrid

• 📌 Project: Market Intelligence – Price Crawl & Product Matching
• Principal Engineer delivering scalable architectures across the full product lifecycle — from design to deployment. Modernized legacy systems into cloud-native microservices and transformed petabyte-scale datasets into standardized models for data-driven decision-making.
• Key Accomplishments:
• Built large-scale data pipelines (Spark, Flink, Hadoop) with batch/streaming capabilities and advanced Elasticsearch-powered search.
• Fine-tuned and deployed Small Language Models (SLMs) for multilingual translation, enabling globalization at scale — optimizing for low-latency inference, domain-specific vocabulary alignment, and cost-efficient serving across locales.
• Designed an LLM Router — dynamically routing across GPT-4, Claude, Gemini, Llama, and Mistral based on use case, cost, and ML scoring. Built RAG pipelines grounded in vector databases (Pinecone, pgvector, FAISS) — enabling context-aware retrieval over large enterprise knowledge corpora with hybrid dense-sparse search strategies.
• Built AI agents for competitive intelligence — automating price signal extraction and product attribute enrichment from unstructured web data.
• Led high-performing teams, drove strategic hiring, mentored engineers, and delivered complex customer-facing solutions on schedule.
• 📌 Project: Data as a Service – Multi-Tenant Platform
• Led development of a high-throughput multi-tenant DaaS platform on GCP using Apache Flink and Elasticsearch.
• Key Highlights:
• Implemented OpenAPI standards with automated SDK generation and CI/CD governance checks for cross-team compliance.
• Refactored data pipelines, cutting infrastructure costs by 50%+ while sustaining 10+ GB daily multi-region ingestion.
• Integrated LLM-powered enrichment pipelines enabling natural language querying across tenant datasets.
• Leveraged AWS Bedrock and custom SLM deployments for entity resolution, schema mapping, and anomaly detection.

Jun 2021 – Present · 5 yrs

• Mentoring students on career beginning , technology, career progression

Jan 2021 – Jun 2022 · 1 yr 5 mos · Delhi, India

• At Oracle Cloud Infrastructure (OCI), I led the design and development of an internal multi-language build tool supporting Java, Python, and Go deployments. I built DAG-based orchestration pipelines to optimize build workflows and collaborated with global stakeholders to align architectural strategies across teams and time zones.
• One of my key contributions was architecting a NoSQL-powered rule engine that enabled dynamic, logic-driven execution based on user-defined parameters—bringing agility and customization to the build process.
• I championed engineering excellence, embedding reliability, reducing technical debt, and mentoring junior engineers. I also played an active role in technical hiring and worked closely with senior leadership to shape long-term product direction and architectural vision.
• 🔑 Key Achievements:
• Architected and developed Back End systems based on Java and Springboot with distributed data capabilities using Big Data
• Designed data pipelines with both batch and streaming capabilities using Apache Spark, Apache Flink, and Hadoop. Enabled search capabilities using Elastic engines
• Developed canary testing infrastructure using traffic mirroring to emulate 20% of live load—enabling real-time failure isolation and reducing post-deployment incidents.
• Achieved 95%+ code coverage by integrating JUnit/TestNG, Selenium, Postman, and CI pipelines (Jenkins/GitLab CI), boosting early-phase defect detection.
• Architected a high-throughput Data Module handling 100+ GB/day of structured and unstructured data using distributed file systems and schema-aware processors.

Jul 2019 – Jan 2021 · 1 yr 6 mos · Greater Bengaluru Area · Hybrid

• Led the design and development of secure, auditable blockchain-based systems for cross-border transactions using smart contracts and Hyperledger Fabric. Built a centralized reporting service for real-time analytics and usage-based billing, enhancing transparency and operational efficiency across teams.
• Drove technical hiring and scaled the team by onboarding 5+ high-performing engineers. Actively mentored 10+ engineers through code reviews, architectural discussions, and live debugging sessions. Worked closely with stakeholders and executives to align engineering execution with strategic goals.
• 🔹 Key Achievements:
• Architected and developed Back End systems based on Java and Springboot with distributed data capabilities using Big Data
• Designed data pipelines with both batch and streaming capabilities using Apache Spark, Apache Flink, and Hadoop. Enabled search capabilities using Elastic engines
• Reduced AWS infrastructure cost by 20% through EC2 right-sizing, S3 lifecycle management, and refactoring for async execution.
• Built a Java-based financial ledger on AWS (ECS, RDS), ensuring 99.99% uptime and PCI-DSS, SOX compliance.
• Integrated secure coding practices (OWASP, SonarQube, Veracode) into CI/CD pipelines, leading to zero critical CVEs in production.
• Developed a blockchain transaction framework using smart contracts, real-time event listeners, and anomaly scoring — improving throughput by 40% and fraud detection accuracy.

Apr 2017 – Jul 2019 · 2 yrs 3 mos · Bengaluru, Karnataka, India

• Contributed to the development of MindSphere, Siemens’ next-gen IoT platform, by designing and building core modules that improved system functionality and user experience. Developed a high-performance backend reporting system to process and deliver real-time, large-scale device data, enabling live analytics and remote monitoring.
• Led backend development for the remote connectivity module, facilitating secure device communication and fast file transfers, improving system reliability and responsiveness. Applied scalable architecture principles and secure coding practices to ensure efficient data flow and robust performance across the platform.
• 🔹 Key Achievements:
• Architected and developed Back End systems based on Java and Springboot with distributed data capabilities using Big Data
• Unified two global analytics initiatives by enabling real-time data acquisition from IoT devices worldwide.
• Implemented intelligent data routing to support advanced analytics and proactive issue detection, triggering alerts for anomalies in connected devices and industrial systems.

Oct 2015 – Apr 2017 · 1 yr 6 mos · Bengaluru, Karnataka, India

• Designed and deployed critical modules for health monitoring, fault resilience, and predictive maintenance by leveraging satellite-transmitted locomotive engine telemetry data. Built a robust data processing framework using Java, OSGi, Spring, Apache Camel, and messaging platforms to power real-time analytics and system diagnostics.
• Engineered high-throughput data pipelines to capture key metrics (engine temperature, health indicators), and collaborated with cross-functional teams to integrate telemetry insights into operational dashboards for business impact.
• 🔹 Key Achievements:
• Architected and developed Back End systems based on Java and Springboot with distributed data capabilities using Big Data
• Boosted system resilience and throughput by optimizing Kafka/RabbitMQ queues, tuning consumer groups, and adding retry/backoff strategies for reliable delivery and fault tolerance.
• Built a real-time middleware platform processing over 1M+ telemetry messages per minute with sub-second latency using SOA principles, multi-threading, and binary serialization (Protobuf/Avro).

Sep 2013 – Oct 2015 · 2 yrs 1 mo · Gurugram, Haryana, India · On-site

• Led a team of 10 engineers through full-cycle project delivery — from architecture and coding to deployment and client engagement — ensuring alignment with strategic business goals. Developed web applications using a diverse stack including Java, PHP, React, Node.js, and various web frameworks.
• Built robust backend systems with MySQL and Hibernate, and improved collaboration and code quality using Git-based workflows. Applied data structures and algorithmic principles to optimize performance and maintainability. Drove client workshops and architecture sessions to align on features, timelines, and platform needs.
• 🔹 Key Achievements:
• Designed and deployed modular full-stack web apps for health and insurance platforms using React, Node.js, and PostgreSQL with secure REST APIs and responsive UIs.
• Built a configuration-driven platform that auto-generates websites (HTML/JS) from pre-set parameters—eliminating manual effort and dramatically reducing development cycles.
• Fostered a high-performing, agile team culture through peer learning, iterative delivery, and hands-on technical mentorship.

Jul 2011 – Sep 2012 · 1 yr 2 mos · Noida, Uttar Pradesh, India · On-site

• Developed automated reporting solutions for enterprise-level storage performance by monitoring within start-up focused on analysing server and array metrics. Streamlined reporting workflows by enabling real-time insights and facilitating proactive infrastructure management for enterprise clients. Utilised PHP and MySQL to build scalable, data-efficient systems capable of handling large volumes of storage performance data.
• Key Accomplishments:
• Automated report generation workflows by building Python-based scripts and scheduling jobs via cron and Airflow, enabling delivery of PDF and Excel reports through integrated email dispatch and reducing manual turnaround time by over 80%.
• Engineered custom reporting tool leveraging REST APIs, Prometheus/Grafana metrics, and Panda’s data processing to generate detailed performance and health insights in global storage infrastructure, enhancing real-time monitoring and capacity planning.