Mayank Dixit

Software Engineer

Bengaluru, Karnataka, India9 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

9 years of experience in software development lifecycle.
Expertise in database management and optimization.
Proficient in developing advanced speech-recognition technologies.

Stackforce AI infers this person is a skilled software engineer specializing in database systems and AI-driven applications.

Contact

mayank34714@gmail.com LinkedIn

Skills

Core Skills

Software DevelopmentAgile MethodologiesDatabase DevelopmentCloud-native ArchitectureSqlData StructuresNatural Language UnderstandingC++Virtualization

Other Skills

AlgorithmsArtificial Intelligence (AI)AutomotiveC (Programming Language)GitJiraLeadershipLinuxLow Level DesignManagementMySQLObject-Oriented Programming (OOP)Project ManagementPythonSoftware Design

About

Having 9 years of Experience in overall software development life cycle.

Experience

Omnissa

Member of Technical Staff- III

Dec 2023 – Present · 2 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

(Formerly VmWare EUC)
Working as part of Horizon Client team : Design and develop
product features and enhancements.

Agile MethodologiesSoftware DevelopmentProject Management

Oracle

Senior Member Of Technical Staff

Apr 2022 – Nov 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India

Working in Oracle Database Team in the partitioning sub-component.
Partitioning helps facilitate Oracle's VLDB(Very Large Database)
management by optimally distributing data between different database
instances for faster access in On-premise/Cloud.

SQLDatabase DevelopmentCloud-Native Architecture

Teradata

Software Engineer

Aug 2020 – Mar 2022 · 1 yr 7 mos · Hyderabad, Telangana, India

Working in the SQL Engine team responsible for improving the
database engine by means of feature enhancement and
defect fixes.

SQLAlgorithmsData Structures

Nuance communications

2 roles

Software Engineer

Promoted

Jun 2019 – Aug 2020 · 1 yr 2 mos

Contributed in Development of streaming based speech-recognition software
Migrated the existing hybrid speech-recognition scenario(embedded+cloud) which has to be adapted w.r.t next-gen ASR solution.
Technologies Used: C/C++ for core, Python for prototyping.
Extending the NLU domain, so that it contains the contextual and personal preference information on a per-user basis. Technologies Used: C/C++ for core, Python For Prototyping

C++PythonNatural Language Understanding

Associate Software Engineer

Jun 2016 – May 2019 · 2 yrs 11 mos

Developed audio I/O of speech recogniser for different OS (Linux, Android, iOS) using native API(s)
Delivered speech recognition SDK(s) for Various platforms.
Worked on creating customised OS images for quick virtualization of any Guest OS in Host OS using VmWare, VirtualBox

C++LinuxVirtualization