Karan Verma

About Karan Verma

Principal Technical Leader | AI Architect | Ex-CTOI am a Principal Engineer and Associate Vice President with over 15 years of experience architecting high-frequency financial ecosystems and leading organizational transformation. My career is defined by a unique intersection of high-scale distributed systems and cutting-edge Artificial Intelligence, underpinned by an MS in Applied AI from the University of San Diego.Scaling InnovationI have a proven track record of managing massive-scale operations, including platforms with 80M+ accounts,$1.5B in quarterly disbursements, and backends handling 3 Billion+ daily events. From serving as CTO of a Fintech startup to leading core engineering at Arcesium and Paytm, I specialize in bridging the gap between complex engineering and business profitability.AI & Agentic ArchitectureWith a deep academic and practical foundation in AI, I am currently focused on the next frontier: Agentic AI. I architect autonomous systems using frameworks like CrewAI, LangGraph, and AutoGen, integrated with MCP servers and N8N workflows. My expertise spans:Generative AI: RAG architectures, LLM orchestration, and Fine-tuning.Deep Learning: Production-grade CNNs, RNNs, and Reinforcement Learning.Specialized Use Cases: AI-driven Stock Analysis (RSI/ADX/PE), Automated KYC, and Intelligent Credit Scoring.Leadership & GovernanceAs a \"multiplier\" leader, I have mentored teams of 30+ engineers, fostering a culture of technical excellence through RFC/ADR governance and CKAD-certified cloud-native standards. I am passionate about MLOps, ensuring that AI isn\'t just a prototype but a scalable, secure, and ethical production asset.Technical North Star:Expertise in technologies like :1. AI Agents - CrewAI, OpenAI SDK, LangGraph, AutoGen, MCP servers2. AI - Tensoflow, Pytorch, CNN, RNN, RAG3. Cloud Native : Kubertenes, Docker, Micro-Services4. Cloud: AWS, Google Cloud Services, Google APIs 5. Language : Core JAVA, J2EE, Spring Boot, Hibernate, Multi-threading6. DB : MySQL, NoSQL DBs like Cassandra, MongoDB, Scylla DB etc, Elastic Search, 7. Queue : Apache Kafka, SQS, SNS, Active MQ,8. Tools : Pentaho BI & Reporting Tool, Tableau9. Spark Scala, Big Data and Analytics, Hadoop, MapReduce and HDFS, Spark SQL, Spark Streaming10. Caching : Redis, Aerospike Caching8. Serverless Architecture, Lambda Functions.Impact: Proudly impacting 14 Million developers worldwide via my 13k+ reputation on StackOverflow.

Experience

1. Principal Engineer Ai Ml

   Arcesium

   Feb 2024 — Present · Gurugram, IN

   Regulatory Compliance Platforms | Hedge Funds | MAS (Singapore) & FCA (UK)Led the design and scale of intelligent regulatory reporting platforms for private market transactions across Singapore and UK, supporting multi-billion dollar cross-border fund activity under strict MAS and FCA regulations.Architected and delivered an end-to-end compliance framework covering ingestion → rule engines → validation → reconciliation → regulator submissions. Enabled near real-time validation, automated regulatory classification, and strong governance.Built AI/ML-powered anomaly detection and agent-driven workflows to automate breach detection, exception handling, and regulatory tagging. Engineered high-volume Spark (Scala) pipelines for complex private market datasets.Led Kubernetes-based microservices architecture with Argo workflows and enterprise CI/CD. Implemented entitlement systems aligned with regulatory expectations. Partnered with compliance and legal teams to translate regulatory text into executable systems.Increased transparency and audit readiness for hedge funds and institutional asset managersMentions - Expertise:AI/ML & Automation: Agent systems, anomaly detection, workflow orchestration, LangChain, CrewAI, N8NCloud Native: Kubernetes, Docker, Microservices, ArgoCloud: AWS (EKS, S3, RDS, IAM, Auto Scaling), IaCLanguages: Kotlin, Java, Python, Scala, ReactJSBig Data: Spark (Scala), Spark SQL, distributed pipelinesDatabases: MySQL, PostgreSQL, Cassandra, MongoDB, ElasticsearchMessaging: Kafka, SQS, SNS | Caching: RedisCI/CD & DevOps: GitOps, container orchestrationRegTech: Rule engines, entitlement systems, audit & lineageSkills: Software Development · Distributed Systems · Spark · Kubernetes · AI/ML Systems · Regulatory Technology · Cloud Architecture · Backend Engineering · Team Leadership

Education

• University of San Diego

  Master of Science - MS, Artificial Intelligence

• Tagore Public School

  High School, Computer Science

  2003 — 2004

• Maharshi Dayanand University

  Engineer's Degree, Computer Science

  2007 — 2011

• RKSD Sr. Sec Public School

  Senior Secondary Education, Computer Science

  2005 — 2006

Skills

• J2ee Application Development
• Team Management
• Mongodb
• Jpos
• Web Services
• Spring Framework
• Core Java
• Jsp
• Java Enterprise Edition
• Multithreaded Development
• Activemq
• Elasticsearch
• Apache Camel
• Big Data
• Struts
• Ejb
• Pentaho
• Payment Industry
• Tomcat
• Business Intelligence
• Iso8583
• Payment Services
• Jboss Application Server
• Spring Batch
• E-Payments
• Payment Cards
• Payment Gateways
• Servlets
• Sql
• Eclipse
• Hibernate
• Mapreduce
• Spring
• Oracle
• Java
• Payment Card Processing
• Ajax
• Data Analysis
• Javascript
• Cassandra