Manish Garg

CTO

Jaipur, Rajasthan, India10 yrs 9 mos experience

Highly Stable

Key Highlights

8+ years of experience in end-to-end project handling.
Expertise in designing scalable SaaS applications.
Strong background in data platform development.

Stackforce AI infers this person is a SaaS-focused software engineer with strong data platform development skills.

Contact

manishgargiitpatna@gmail.com LinkedIn

Skills

Core Skills

Data Platform DevelopmentSoftware Engineering

Other Skills

JavaSQLApache KafkaMongoDBSpring BootCC++HTMLLinuxPythonData StructuresMicrosoft OfficePHPAlgorithmsProgramming

About

Self Motivated result oriented IT Professional with 8+ years of experience in handling multiple projects independently end to end. I was involved in designing and developing applications from scratch which gave me good experience in scalability, performance tuning and building SAAS products. Have a good exposure in designing and building loosely coupled applications by applying industry best practices.

Experience

10 yrs 9 mos

Total Experience

6 yrs 2 mos

Average Tenure

4 yrs 7 mos

Current Experience

Arcesium

Engineering Lead

Nov 2021 – Present · 4 yrs 7 mos

Building world class Data Platform solution.

JavaSQLApache KafkaMongoDBSpring BootData Platform Development+1

Envestnet | yodlee india

3 roles

Senior Member Of Technical Staff

Feb 2020 – Nov 2021 · 1 yr 9 mos

Member Of Technical Staff

Feb 2018 – Jan 2020 · 1 yr 11 mos

Senior Software Engineer

Jul 2015 – Jan 2018 · 2 yrs 6 mos

York university

Research Intern

May 2014 – Jul 2014 · 2 mos · Toronto, Canada Area

Indian institute of technology, kharagpur

Summer Intern - Workflow Specification for Automated Interface Generation and Database Normalization

May 2013 – Jun 2013 · 1 mo · Kharagpur Area, India

Developed a grammar for a structured language that is suitable for the identification of key pieces of information(entities, attributes, methods) for developing the application. After that extracted key pieces are analysed and then necessary database schemas and queries for the target system are designed in an automated way. Finally, candidate key generation and automated normalization is carried out for removing redundancy and anomalies.