Nirmal Kumar

VP of Engineering

India19 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

17+ years of experience in AI-powered product development.
Expert in computer vision and deep learning solutions.
Proven track record in leading high-performing engineering teams.

Stackforce AI infers this person is a Cybersecurity and Data Engineering expert with a focus on AI-driven solutions.

Contact

Skills

Core Skills

Computer VisionDeep LearningRobotic Process AutomationMicroservicesHealthcare AnalyticsBig DataData EngineeringHadoopEnterprise Application DevelopmentMainframe Technologies

Other Skills

AI ScalabilityAgile MethodologiesApache KafkaApache PigApache SolrApache SparkCICSCOBOLCollectdDB2DockerFluentdHBaseHDFSHibernate

About

Engineering Leader | Building AI-powered computer vision & LLM products | Startup energy, enterprise impact | Cybersecurity & RetailTech I’m an engineering leader with 17+ years of experience building AI-powered products at the intersection of computer vision, large language models, and cybersecurity. From architecting In-house RPA platform to Investigation systems based on video intelligence to deploying fraud detection pipelines across thousands of retail locations, I specialize in taking complex ideas from 0→1 — fast, secure, and at scale. Currently, I lead a deep tech team solving multi-modal problems in RetailTech, helping Fortune 500s reduce shrinkage and improve operational efficiency using vision-language models and edge AI. My work has enabled sub-second inference at massive scale, saving resources and losses while advancing AI safety and explainability in production systems. Beyond code and architecture, I care deeply about people. I lead with clarity, trust, and curiosity — whether it’s through 1:1s, mentoring emerging tech leads, or aligning teams toward high-impact outcomes. I’m always excited to connect with builders, leaders, and creators pushing the boundaries of AI, enterprise software, and secure systems.

Experience

19 yrs 4 mos

Total Experience

4 yrs 10 mos

Average Tenure

7 yrs 3 mos

Current Experience

Target

3 roles

Senior Engineering Manager - Cyber Defence

Promoted

Dec 2023 – Present · 2 yrs 6 mos

Driving Innovation in Computer Vision, Deep Learning, and Multimodal AI for Cyber defence and Cybersecurity.
As an engineering manager, I lead a dynamic team of experts in developing cutting-edge products at the intersection of computer vision, deep learning, and vision-language models. With a focus on multi-modal AI, we build scalable solutions that bridge the gap between visual and linguistic understanding, enabling transformative applications to investigate Cyber frauds. I thrive on fostering collaboration, mentoring talent, and delivering impactful, AI-powered innovations.
Lead the development of advanced computer vision and deep learning solutions, driving real-world product applications.
Oversee projects utilizing vision-language and multi-modal models to solve complex problems in Asset protection.
Mentor and manage a high-performing team, ensuring alignment with strategic goals while fostering a culture of innovation.
Collaborate cross-functionally with product, research, and business teams to bring AI-powered products from concept to deployment.
Utilize expertise in deep learning frameworks (PyTorch, TensorFlow), vision-language models, and AI scalability .

Computer VisionDeep LearningVision-Language ModelsAI Scalability

Lead Engineer - Vision Computing

Jun 2021 – Jan 2024 · 2 yrs 7 mos

Advanced Computer Vision ML Pipelines and Engineering | Innovative Data Engineering Solutions | Expert in Microservices Architecture and Platform Engineering

Lead Engineer - Intelligent Automation and RPA platform

Mar 2019 – Jun 2021 · 2 yrs 3 mos

Spearheaded a dynamic Robotic Process Automation (RPA) engineering team, overseeing 10+ talented members.
Architected and crafted a versatile, scalable RPA platform, guiding it from incubation to production. Leveraged cutting-edge technologies including HashiCorp Nomad, Consul, Docker, Java, Spring Boot, and Microservices.
Pioneered the development of an Intelligent Digital Robotics platform, integrating AI products to create Microbots with capabilities ranging from traditional coding to low-code and no-code solutions.

Robotic Process AutomationMicroservicesJavaSpring Boot

Philips innovation campus, bangalore

Software Technologist II

Aug 2015 – Mar 2019 · 3 yrs 7 mos

Leadership in Healthcare Analytics Product Development
Guided a team of engineers and senior engineers, overseeing a talented group of 8+ members dedicated to designing and developing a cutting-edge healthcare analytics product.
Utilized Python for application development and implemented Docker and Kubernetes/Minikube for efficient orchestration in development environments.
Engineered a Free Text Search-based application employing Lucidworks Fusion, Apache Solr, and Apache Spark.
Established token-based security for REST APIs using JWT, ensuring robust application security.
Developed Big Data applications on the MapR converged platform, implementing Lambda Architecture with Spark, MaprStreams, MaprDB/Hbase, and the MaprFile system.
Engineered a comprehensive platform for Log collection and centralization, seamlessly handling both Docker and non-Docker applications through Fluentd, Kafka, and MaprStreams.
Prototyped Metrics collection from clusters of nodes using Fluentd and Kafka, enhancing data insights.
Designed, developed, and deployed applications using Docker containers, leveraging Mesosphere DC/OS and Marathon for streamlined deployment and operation.
Successfully deployed and scaled applications in the DC/OS environment, ensuring optimal performance.
Created a data indexer for Apache Solr and MaprDB, implementing Scala and Apache Spark.
Engineered a backup and restore application for MaprDB using Python and MapR APIs, enhancing data integrity and resilience.

PythonDockerKubernetesApache SolrApache SparkHealthcare Analytics+1

Cgi

Senior Software Engineer

May 2013 – Aug 2015 · 2 yrs 3 mos · Bangalore India

Architected and Implemented Advanced Data Pipelines in Hadoop Environment
Designed and developed intricate multistage data pipelines utilizing Hadoop technologies, including MapReduce, Hive, and Oozie.
Extracted and processed data from mainframe systems, seamlessly integrating it into the Hadoop Distributed File System (HDFS).
Applied expertise in structuring, processing, and transforming data through various stages, employing the power of MapReduce for optimal results.
Developed custom MapReduce Jobs to handle pre-processing and data cleansing tasks, facilitating effective data warehousing. Also, orchestrated data joins with other datasets, creating new enriched datasets, and performed feature extraction to enhance input for Business Intelligence tools.
Leveraged Spring-MVC to develop robust and efficient REST APIs, ensuring seamless communication and data interaction across diverse applications.

HadoopMapReduceHiveSpring-MVCData Engineering

Ibm india private limited

Senior System Engineer

Feb 2007 – May 2013 · 6 yrs 3 mos

Role: Accomplished Individual Contributor
Engineered and implemented large-scale enterprise applications proficiently in JAVA/J2EE, ensuring robust and scalable solutions.
Developed SOAP web services utilizing a Service-Oriented Architecture (SOA) approach, enhancing interoperability and communication.
Applied data engineering expertise on IBM Z systems, leveraging mainframe technologies to optimize data processing.
Constructed efficient data pipelines and Batch Jobs, employing Job Control Language (JCL) for seamless job orchestration.
Designed and developed Mainframe applications, showcasing proficiency in COBOL, DB2, VSAM, CICS, and IMS technologies.
Spearheaded the modernisation of Mainframe applications, strategically reducing MIPS consumption through the integration of contemporary technologies.
Developed applications on the IBM RDz platform, showcasing adaptability to modern development environments and tools.