Ongfa Wakhet

Software Engineer

Bengaluru, Karnataka, India8 yrs 5 mos experience
Highly StableAI Enabled

Key Highlights

  • 4+ years of full-stack web application development experience.
  • Led migration from AngularJS to Angular 8, enhancing team productivity.
  • Developed AI tool for skin lesion classification, impacting healthcare.
Stackforce AI infers this person is a Full-Stack Software Engineer with expertise in SaaS and Healthcare technologies.

Contact

Skills

Core Skills

Full Stack DevelopmentBackend DevelopmentFrontend DevelopmentObservabilityMachine Learning

Other Skills

Agile MethodologiesAgile Software DevelopmentAlgorithmsAngular 8Angular MaterialAngularJSArtificial IntelligenceAtlassian SuiteAutomationBack-End Web DevelopmentBitbucketBloggingCC++Cascading Style Sheets (CSS)

About

I am currently working as a Software Engineer in DigiCert for 3+ years. Previously, I was working as a Software Engineer in Spectral Insights(nference). I have completed M.Tech from IIT Guwahati in Theoretical computer science. I have 4+ years of experience in developing full-stack web applications. I am hands-on in Object-oriented programming and REST APIs in PHP and Python. I have experience in Angular8, Vue3, Jquery and vanilla JavaScript. I have worked on Slim and Django frameworks. I am experienced in Agile Methodologies and am an AI/ML enthusiast.

Experience

8 yrs 5 mos
Total Experience
2 yrs 3 mos
Average Tenure
--
Current Experience

Digicert, inc.

Software Engineer - Level IN6

Dec 2019Sep 2025 · 5 yrs 9 mos · Bengaluru Area, India · Hybrid

  • At DigiCert, I worked as a Full Stack Engineer and have taken on both backend and frontend responsibilities on multiple projects.
  • Designed and owned an internal lock-management system (Shedlock Admin Tool) to detect, inspect, and safely resolve stale distributed locks. The system reduced operational risk, removed manual DBA intervention, and improved overall reliability through pagination, secure coding practices, and Splunk-based observability for auditability and real-time diagnosis.
  • Designed a resilient account-recovery and retry orchestration system to safely reconnect OneLogin accounts with DigiCert One. Focused on idempotency, failure handling, and recovery paths to ensure onboarding workflows remained reliable under partial failures.
  • Contributed to the ACME dashboard by designing maintainable frontend–backend interaction patterns, ensuring UI components reflected backend state accurately and could evolve without tight coupling.
  • Implemented an observability strategy for the CertCentral subscription model, integrating Sentry with replay sessions and artifact uploads to surface systemic UI failures early and enable faster root-cause analysis across releases.
  • Worked cross-functionally to translate subscription-domain requirements into stable system boundaries, ensuring backend constraints, data correctness, and lifecycle rules were accurately reflected in product behavior.
  • Led security hardening of Windows applications by identifying and mitigating DLL loading vulnerabilities, strengthening the system’s trust boundaries and compliance posture.
  • Designed and implemented an automated certificate reissue system for OV/DV certificates, focusing on correctness, safe retries, and minimal operational overhead during renewal and failure scenarios.
Full Stack DevelopmentBackend DevelopmentFrontend DevelopmentObservabilitySecurity Hardening

Spectral insights

Software Engineer - Frontend Lead

Nov 2018Aug 2019 · 9 mos

  • 1) Designed and developed the client-study/patient-case(preclinical/clinical) data management system to map study to slide data.
  • 2) Lead the mitigation of a AngularJS monolithic frontend code-base to a modular structure using Angular 8 front end framework in order to distribute work amongst the team members effectively and reducing development and debugging time.
  • Job function: Full stack development
  • Leadership position: Frontend Team Lead
Angular 8Frontend DevelopmentModular Architecture

Diag me

2 roles

Co-Founder and R&D Engineer

Jun 2017Apr 2018 · 10 mos · India

  • We are a group of four people working passionately on a project based on diagnosis of skin lesions using artificial intelligence. The tool will be based on deep neural networks to help dermatologists around the world classify skin lesions using images for skin cancer. Currently,we are developing an algorithm to achieve classification according to shape, color and texture of the lesion.
  • Tools used: python, TensorFlow, Google Inception version3 CNN architecture, Docker.
  • Data set used: ISIC data set of skin lesions.
Deep LearningArtificial IntelligencePythonTensorFlowMachine Learning

Machine Learning intern - Virtual

Jun 2017Jul 2017 · 1 mo · India

  • Deep Learning for dermatoscopy

Indian institute of technology, guwahati

Graduate Teaching Assistant

Jul 2016Jun 2018 · 1 yr 11 mos · Guwahati Area, India

  • 1. CS431-Programming Languages Lab
  • 2. CS347-Compilers Lab
  • 3.CS101-Introduction to Programming

Education

Indian Institute of Technology, Guwahati

Master of Technology (M.tech) — Theoretical Computer Science

Jan 2016Jan 2018

National Institute of Technology Arunachal Pradesh

Bachelor of Technology - BTech — Computer Science and Engineering

Jan 2011Jan 2015

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