Akash Jain

CTO

Bengaluru, Karnataka, India7 yrs 10 mos experience

Key Highlights

Proficient in building scalable microservices.
Strong background in data analysis and machine learning.
Experienced in developing REST APIs and big data solutions.

Stackforce AI infers this person is a SaaS-focused backend engineer with expertise in big data and microservices.

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Skills

Core Skills

JavaApache Spark StreamingQliksensePythonDjango

Other Skills

AlgorithmsApache PhoenixBig Data AnalyticsCData AnalysisData StructuresDockerElastic Stack (ELK)ElasticSearchGithubGrafanaHBaseImpalaInfluxDBJenkins

About

Currently working at Lendingkart Technologies working as Tech Lead. Proficient in core computer science fundamentals, including Distributed Systems, Algorithms, Data Structures, Databases, and Software Designs. Experienced in building and scaling microservices from scratch, as well as maintaining and optimizing them. Interested in building distributed and scalable applications by utilizing my learnings and experience. Pursued Master’s Degree focused in Data Science from International Institute of Information Technology – Bangalore

Experience

Salesforce

Senior Member of Technical Staff

Oct 2025 – Present · 5 mos · Bengaluru, Karnataka, India · Hybrid

Lendingkart

2 roles

Tech Lead

Dec 2024 – Oct 2025 · 10 mos

Senior Software Engineer

Nov 2022 – Nov 2024 · 2 yrs

Navi

Sde2

Dec 2020 – Oct 2022 · 1 yr 10 mos · India

Cisco

2 roles

Software Engineer ll

Aug 2018 – Dec 2020 · 2 yrs 4 mos · Bengaluru, Karnataka, India

Currently a part of Media Fusion Solutions Team of Webex Teams.
> Worked on performing analytics on data generated from hybrid nodes deployed in customer premise and showing the data in form of visualization graphs and charts to customers for managing the resources deployed in their premise. The work involves from developing the REST Api, analyzing and aggregating the raw data, writing unit and integration tests, logging, containerization, and deployment using CI/CD. These REST Apis are then used by UI.
> Worked on aggregating and storing big data generated by hybrid media customer nodes with the help of Spark Structured Streaming and generating long term customer reports and showing those reports in form of graphs, charts, KPI using visualization tool QlikSense. The work involves from reading data from Kafka Pipeline, perform streaming and aggregation using Apache Spark, storing the long term aggregated data to Apache Phoenix and creating customer dashboards using QlikSense.

JavapythonRepresentational State Transfer (REST)Data AnalysisMachine LearningData Structures+5

Internship

Jan 2018 – Jun 2018 · 5 mos · Bengaluru Area, India

Project : Devops Dashboard for Microservices Deployed In Cloud Platform
The goal of this project is to perform active monitoring of cloud services deployed as a part of Webex Teams solution and provide a dashboard for DevOps team to quickly identify the status of microservices. It helps in proactive identiﬁcation of the issues by using relevant logs and metrics which will mitigate the issues in the early stages by providing alerts and minimize the risk of entire service being down.
Technologies Used: Python, Django, Qlik, Impala

PythonDjangoQlikImpala