Dipak Das

Engineering Manager

Bengaluru, Karnataka, India9 yrs 1 mo experience

Most Likely To SwitchAI Enabled

Key Highlights

Led a team of 14 engineers to deliver scalable solutions.
Passionate about mentoring engineers and fostering innovation.
Expert in Machine Learning and AI technologies.

Stackforce AI infers this person is a SaaS-focused engineering leader with expertise in AI and scalable software solutions.

Contact

Skills

Core Skills

Engineering LeadershipMachine LearningDistributed SystemsSoftware ArchitectureSystems Design

Other Skills

Agentic AIAgile MethodologiesAlgorithm DevelopmentArtificial Intelligence (AI)BlockchainCryptocurrencyData StructuresDesign PatternsDomain-Driven Design (DDD)Dynamic ProgrammingElasticsearchFastAPIFirebaseGenerative AIGoogle Cloud Platform (GCP)

About

I lead a team of 14 amazing engineers, including 5 direct reports, with a focus on building strong collaboration, delivering scalable solutions, and driving technical excellence. I’m passionate about mentoring engineers, helping them grow in their careers, and creating a culture where ideas and innovation thrive.With a balance of technical depth and leadership, I make sure projects run smoothly, align with business goals, and continuously evolve through feedback and improvement. What drives me most is building impactful products and working with people who love solving meaningful, complex challenges.

Experience

9 yrs 1 mo

Total Experience

3 yrs

Average Tenure

6 yrs 7 mos

Current Experience

Nutanix

4 roles

Engineering Manager

Promoted

Mar 2025 – Present · 1 yr 2 mos

Implemented Agile methodology to streamline engineering workflows, improving delivery speed and cross-team collaboration.
Scaled the assignments service to support millions of users using the Kafka framework, ensuring high performance and reliability.
Enhanced the search engine with contextual and vector-based search using Elasticsearch, improving result accuracy and user satisfaction.
Automated content metadata and assessment generation using transcripts and LLMs (Meta 70B), reducing manual effort and accelerating content publishing.
Built a recommendation engine with a two-tower neural network model, boosting product engagement and certificate adoption.
Led the design of live streaming and discussion features using HLS and Firebase, enabling seamless real-time interactions.
Coached and mentored engineers to achieve career growth and expand their skills and responsibilities.
Supported the team in developing AI/ML capabilities, fostering innovation and future-ready skill development.
Partnered with cross-functional stakeholders to define software requirements, ensuring business alignment and on-time project delivery.

Machine LearningScrum masterPeople ManagementEngineering LeadershipLarge Language Models (LLM)Agentic AI+3

Sr. Software Development Engineer

Aug 2022 – Mar 2025 · 2 yrs 7 mos

Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes; investigating problem areas; following the software development lifecycle.
Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
Mentor junior and mid-level engineers.
Collaborate with team and stakeholders to brainstorm and create new products.
Make informed decisions quickly and taking ownership of services and applications at scale.

Google Cloud Platform (GCP)Distributed SystemsMachine LearningSystems DesignGenerative AIScrum master+1

Member Of Technical Staff 4

Promoted

Jul 2020 – Jul 2022 · 2 yrs

Managing end-to-end UI infrastructure, API infrastructure, Pub/Sub messaging layers for microservices.
Design, develop and execute software solutions to address business issues.
Collaborating with various stakeholders to determine software requirements.
Code while considering performance, scalability, maintainability, and flexibility
Develop high-level product specifications with attention to system integration and feasibility
Developed SAML authentication system that connects several third-party businesses.

Software Development Engineer

Sep 2019 – Jul 2020 · 10 mos

We are dedicated to building a platform from scratch where the user can stream the contents/videos related to their training and the upcoming opportunity to close the sales(Internal employees). Used a distributed system to store the metadata and all the files.
Technologies: Python, NodeJS, Vuejs, vuetify, MongoDB(Distributed Clusters), GCP(GCE, GKE, GCS), PostgreSql, Elastic search, Kafka.

Unilever

Software Engineer

Nov 2017 – Aug 2019 · 1 yr 9 mos · Bangalore

Worked with a team of developers maintaining and building new features of all sales target related like monthly wise, area wise, cluster wise, and zone wise for all the outlets and RS’s across India as well as in Nepal.
Design and implemented a feature called price extract hierarchy using brand category, item description, etc using a binary search tree that drastically improved user experience in one platform.
Updated all related documents and handled post-production issues.
Technology used: Core Java, Spring Boot, DB2, IBM WebSphere, AWS

Tricky global solutions pvt ltd

Software Developer

Feb 2017 – Nov 2017 · 9 mos · Bangalore

Designed and implemented an object-oriented framework for resource management for a vast distributed real-time network with fault-tolerance with minimal redundancy in resources. This significantly improved performance and security for data transmission and call setup.