Nikhil reddy Chillakuru

Director of Engineering

Bengaluru, Karnataka, India8 yrs 9 mos experience
Highly Stable

Key Highlights

  • Led development of India's first ML product for agritech.
  • Managed a team of 7 in a fast-paced environment.
  • Achieved 85-90% accuracy in AI-based grading system.
Stackforce AI infers this person is a Backend-focused Engineer with expertise in Agritech and Machine Learning.

Contact

Skills

Core Skills

Project ManagementPeople ManagementRuby On RailsPythonMachine LearningDatabase Management

Other Skills

MySQLAWS SageMakerCode ReviewLeadershipCoaching & MentoringTechnology RoadmappingTechnical LeadershipTechinal leadershipComputer VisionCommunicationCUDADockerKubernetesCode RefactoringSystem Architecture

Experience

Stronghold investment management

2 roles

Lead Backend Engineer

Promoted

Jan 2026Present · 2 mos

Senior Backend Engineer

Feb 2025Dec 2025 · 10 mos

Vegrow

3 roles

Engineering Manager

Jul 2024Feb 2025 · 7 mos

Project ManagementPeople Management

Team Lead

Promoted

Apr 2022Jun 2024 · 2 yrs 2 mos

  • Developing cutting-edge, intelligent technologies that deliver actionable insights, empowering India's fastest-growing Agritech sector to thrive.
  • Managed a team 7 members.
  • Leading the development of Velens, India's first product to leverage machine learning technology for accurately assessing the quality and size-mix of yield from farm harvests, revolutionizing agritech insights.
  • Headed Quality Report feature which provides quality and size-mix for perishable inventory of fruits.
  • Major responsibilities included Delivery, Quality and architecture of the above products.
Ruby on RailsPython

Senior Software Developer

Sep 2020Mar 2022 · 1 yr 6 mos

  • Building tech to manage all the operations.
Ruby on RailsMySQLDatabase Management

Intello labs

2 roles

Software Engineer

Jul 2017Aug 2020 · 3 yrs 1 mo

  • Developed a backend system to track user activity on a web portal for personalized recommendations.
  • Implemented web spiders to crawl e-commerce sites for product data, enabling brand monitoring and actionable insights.
  • Developed an AI-based vegetable grading system using Mask RCNN and image processing to grade produce (e.g., tomatoes, onions, potato) per industry standards. Achieved 85-90% accuracy, reducing manual effort and increasing adoption. Used by Amazon, Rajasthan Govt, etc..
  • Optimized deep learning models through hyperparameter tuning using Grid and Bayesian Search. Leveraged Amazon SageMaker for the same.

Software Developer Intern

Jan 2017Jun 2017 · 5 mos

  • Data monitoring across various ecommerce portals: Using web spiders crawled websites to capture data of products for brand monitoring and giving insights on the same. Worked independently creating web crawlers and REST.

Education

Dhirubhai Ambani University

Bachelor’s Degree — Information and Communication Technology

Jan 2013Jan 2017

Narayana Junior College

Intermediate — MPC

Jan 2011Jan 2013

Triveni Talent School

School

Jan 2010Jan 2011

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