Vamshi Nalajala

Software Engineer

Bengaluru, Karnataka, India11 mos experience

Key Highlights

  • Proficient in React and PostgreSQL for web development.
  • Experience in optimizing backend processes and database queries.
  • Strong foundation in data structures and algorithms.
Stackforce AI infers this person is a Software Engineer with a focus on web development and database optimization in the SaaS industry.

Contact

Skills

Core Skills

ReactPostgresqlData Structures

Other Skills

GitHubTechnical RequirementsRESTful web servicesC++Spring BootFront-End DevelopmentCode ReviewResolving IssuesProgrammingCommunicationBug TrackingSystem RequirementsReactive ProgrammingTest CasesInterpersonal Skills

Experience

Flipkart

Software development Engineer 1

Nov 2025Present · 4 mos · Bengaluru, Karnataka, India · On-site

Myntra

Software Engineer

Apr 2025Nov 2025 · 7 mos · Bengaluru, Karnataka, India

Mettl

Software Development Intern

Jan 2024Jun 2024 · 5 mos · Gurugram, Haryana, India · On-site

  • Developed dynamic and responsive web interfaces using React to improve the user experience for the CMS at Mercer Mettl.
  • Created a custom CKEditor plugin to integrate syntax-highlighted code snippets into MCQs, enabling more efficient content creation.
  • Developed and maintained RESTful web services, improving flexibility and efficiency in server-client communication.
  • Streamlined backend processes and codebase, reducing latency and improving server-side response times for API requests.
  • Crafted optimized PostgreSQL queries to enhance data retrieval efficiency, reducing database response times and load on the system.
  • Applied indexing and other database optimization techniques to reduce query execution time and improve the overall performance of the database.
GitHubTechnical RequirementsReactPostgreSQL

National institute of technology silchar

Summer Research Intern

Jun 2023Jul 2023 · 1 mo · Assam, India · On-site

  • Developed a 2D Bloom filter probabilistic data structure to reduce memory consumption for membership filters.
  • Enhanced an existing Bloom filter model by optimizing the false positive probability through modifying the murmur
  • hash function.
  • Achived nearly zero false positive probability with less memory consumption.
C++Data Structures

Education

National Institute of Technology Silchar

Bachelor of Technology - BTech — Electronics and Communications Engineering

Jan 2020Jan 2024

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