Vikas Maddukuri

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 11 mos experience
Highly Stable

Key Highlights

  • Expert in building scalable backend systems.
  • Proven track record in machine learning applications.
  • Strong problem-solving skills in high-pressure environments.
Stackforce AI infers this person is a Backend Engineer specializing in scalable systems and machine learning applications.

Contact

Skills

Core Skills

Machine LearningDatabase Query Processing

Other Skills

Generative Modelling

About

I’m a backend engineer who spends most of my time building and running systems that have to work at scale — not just in theory, but in messy, real-world environments. At Harness, I work on infrastructure that runs inside customer environments and quietly does a lot of the heavy lifting. I enjoy solving reliability problems, simplifying complexity, and making systems behave when they’re under pressure. Outside of work, I’m a consistent gym-goer, a big fan of sports, and usually up for a good hike when I need to trade screens for fresh air. I like the same things in life that I do in engineering — discipline, endurance, and occasionally pushing a little past what feels comfortable.

Experience

4 yrs 11 mos
Total Experience
4 yrs 11 mos
Average Tenure
4 yrs 11 mos
Current Experience

Harness

3 roles

Senior Software Engineer

Promoted

May 2024Present · 2 yrs 1 mo

Software engineer II

Promoted

Aug 2022May 2024 · 1 yr 9 mos

Software Engineer I

Jun 2021Jul 2022 · 1 yr 1 mo

Adobe

Summer Research Intern

May 2020Jul 2020 · 2 mos · Bengaluru, Karnataka, India · Remote

  • Received PPO (pre-placement offer) based on the internship performance.
  • > Worked on Approximate Query Processing (AQP) using machine learning techniques to accelerate complex database query responses.
  • > Proposed and implemented a novel approach leveraging generative modelling to synthesize artificial samples for estimating query results with inference times in the order of milliseconds.
  • > Contributed to theoretical innovation and practical system design, demonstrating significant speed-ups without sacrificing accuracy.
  • > Research outcomes led to a publication at the AAAI Conference on Artificial Intelligence and a granted U.S. Patent (US/20220164346).
Machine LearningDatabase Query ProcessingGenerative Modelling

Education

Indian Institute of Technology, Roorkee

Bachelor of Technology

Jan 2017Jan 2021

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