Deepanker Mishra

Software Engineer

Bengaluru, Karnataka, India7 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Data Engineering and Cloud Solutions
Proven track record in optimizing database performance
Strong background in Microservices and Kubernetes architecture

Stackforce AI infers this person is a SaaS and Cloud Computing expert with a strong focus on Data Engineering and Microservices.

Contact

deepanker.mishra@cohesity.com LinkedIn

Skills

Core Skills

Data EngineeringSoftware DevelopmentDevopsAmazon Web Services (aws)Microservices

Other Skills

Application ProgrammingBack-End Web DevelopmentCC++Continuous Integration and Continuous Delivery (CI/CD)Data WarehousingDatabasesDebuggingDockerDocker ProductsElasticsearchExtract, Transform, Load (ETL)Formal VerificationGenAIGo (Programming Language)

About

I graduated from IIT Delhi with an Integrated Dual Degree (B.Tech and M.Tech) in Computer Science, specializing in formal verification.

Experience

Cohesity

Senior Software Engineer

Aug 2024 – Present · 1 yr 7 mos · Bengaluru · On-site

GenAI and RAG on enterprise data

GenAIRAGenterprise dataData EngineeringSoftware Development

Ema unlimited

Founding Engineer

Sep 2023 – Sep 2024 · 1 yr · Bengaluru, Karnataka, India · Hybrid

As an early engineer on the team, I worked on data ingestion, indexing and retrieval charter for the RAG architecture while also working on Infrastructure, Data Governance and Backend API design.
Used Golang for building the services and Terraform + Helm for infra and application deployments.

Google Cloud Platform (GCP)TerraformHelm ChartsGoogle Kubernetes Engine (GKE)PostgreSQLData Engineering+7

Amazon web services (aws)

Software Engineer

Aug 2022 – Sep 2023 · 1 yr 1 mo

Amazon Aurora Global Database
Capex reduction: Benchmarked several EC2 VM types to find optimal configuration on cost-performance frontier.
Monitoring: Added more metrics and improved granularity for better service monitoring.
Availability and performance improvement by finding and fixing deadlock and race conditions in the large C++ codebase.
Deployments: Implemented CFN templates for GlobalDB deployment for new AWS regions. This reduced the region deployment time from 4 weeks to under a week.

Amazon Web Services (AWS)DevOpsSQLSoftware EngineersTest Automation ToolsRepresentational State Transfer (REST)+7

Productiv

Software Engineer

Jan 2020 – Aug 2022 · 2 yrs 7 mos · Bengaluru, Karnataka, India

As an early member of engineering team in the India office I contributed to Data Platform, Data Governance and Infra teams at Productiv.
Designed and implemented data ingestion pipeline for various SaaS integrations spanning ticketing, accounting and expenditure data.
Introduced distributed caching layer on top of storage to improve scalability of backend services.
Lead an observability project to improve product quality, improve data accuracy and cut GTM bugs by half.
Mentored teammates, wrote documents to scale eng and support teams, and helped resolve customer queries.

Amazon Web Services (AWS)DevOpsRedisNode.jsSoftware EngineersElasticsearch+12

Nutanix

3 roles

Member of Technical Staff 3

Aug 2019 – Jan 2020 · 5 mos

Implemented REST APIs enabling one-click deployment of applications on Kubernetes clusters and VM lockdown.
Implemented features in Go for the Nutanix Kubernetes controller and wrote functional tests in Python.

PythonTest AutomationKubernetesDockerMicroservicesSoftware Engineers+4

Member Of Technical Staff

Aug 2018 – Aug 2019 · 1 yr

Worked with Microservices Platform Team to build, test and deliver MSP controller that manages the complete life cycle of multiple Kubernetes clusters.

KubernetesDockerMicroservicesSoftware EngineersC++Go (Programming Language)+1

Summer Intern

May 2017 – Jul 2017 · 2 mos · Bengaluru Area, India

Indian institute of technology, delhi

Teaching Assistant

Jul 2017 – Jun 2018 · 11 mos · Bengaluru, Karnataka, India

Worked as a Teaching Assistant for Digital Image Processing Course under Prof. Prem Kalra and Programming Languages Course under Prof. Sanjiva Prasad in a part-time capacity.