Shivji B.

Lead ML Engineer

Bengaluru, Karnataka, India5 yrs 6 mos experience

AI EnabledHighly Stable

Key Highlights

Led development of AI-driven interviewing platform.
Reduced hiring time by over 90% with automation.
Expert in scalable ML system design and MLOps.

Stackforce AI infers this person is a SaaS-focused AI/ML expert with strong backend development skills.

Contact

Skills

Core Skills

Ai/ml DevelopmentTechnical Project LeadershipBackend DevelopmentMachine LearningApi DevelopmentData Science

Other Skills

LLMOpsGoogle Cloud Platform (GCP)AI/MLSystem DesignData AnalysisUser Experience DesignBackendREST APIWeb ScrapingFlaskData AugmentationAndroid DevelopmentKubernetesLangChainDSA

About

ML Tech Lead and Senior SDE with 5+ years of experience driving end-to-end AI/ML/LLM product development. I specialize in the full lifecycle of ML development — from architectural research and model fine-tuning to high throughput, scalable deployments across text, audio, and image domains. Led the development of multiple production-grade ML features, including LLM-powered agents, intelligent proctoring, ranking and AI-driven interviewing platform. My background blends strong backend engineering (Python, C#/.NET), scalable ML system design, and hands-on MLOps (Docker, CI/CD, GCP), enabling me to ship impactful and cost-optimized AI solutions fast and reliably. Architected and deployed ML platforms that have reduced human effort by over 6x and optimized compute cost and performance. Passionate about building AI for real-world impact, mentoring engineers, and working at the intersection of innovation and reliability.

Experience

5 yrs 6 mos

Total Experience

5 yrs 6 mos

Average Tenure

5 yrs 6 mos

Current Experience

Achiever network

2 roles

ML Technical Lead

Promoted

Dec 2024 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India

Led the design, prototype, development and deployment of the flagship AI based Agentic Interviewing System (iJupyter) which is capable of automating interviews from end-to-end with minimal human intervention, starting from creating a professional JD to setting highest quality of interview questions to conducting the interviews and finally providing a detailed report, thereby reducing the hiring time by over 90%
Built a robust and explainable Application Ranking System to rank job applicants for jobs posted in the platform
Led the design, development and deployment of vscode-like platform for coding during interviews, thereby improving user experience on platform

LLMOpsGoogle Cloud Platform (GCP)AI/ML DevelopmentTechnical Project Leadership

Software Development Engineer

Nov 2020 – Dec 2024 · 4 yrs 1 mo · Bengaluru, Karnataka, India

Designing, building and maintaining the backend (primarily) of desktop and web application. Devops for web apps and apis with github ci/cd and containerisation.
R&D, implementing, deploying and maintaining AI/ML solutions and leading the efforts in the same, recently focussed on application of LLMs and optimisation of deployment
Guiding peers in backend, ML/ NLP, MLOps/ LLMOps, leading training sessions for the peers in various backend and ML technologies, reviewing code and solution approaches of teammates on regular basis

BackendMachine LearningBackend DevelopmentAI/ML Development

White panda

Product Development Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru Area, India · On-site

Analyzed issues in SEO-driven content writing. Interacted with writers, editors to understand their problems and developed a problem statement.
Used web scraping, keyphrase extraction models, readability analysis, and designed a containerized Flask
API to help generate topic-relevant content. It provided keyword suggestions, article length recommendation, missing keywords, and readability analysis for the article.
Added functionalities in the internal dashboard to improve the efficiency of Operations team. Wrote logic and codes to enable early detection of upcoming project deadlines, anomalies in the operations, and finance, and maintain a robust track of the performances of the writers and editors.

REST APIMachine LearningAPI Development

San tzuoo corporation limited

Summer Intern

May 2018 – Jul 2018 · 2 mos · Kaohsiung City, Taiwan · On-site

Curated a dataset of various enterprise product images for object detection tasks.
Applied and experimented with diverse data augmentation techniques, including Gaussian noise, salt-and-pepper noise, Poisson noise, random cropping, and rotation to improve model robustness.
Fine-tuned a pre-trained object detection model to accurately detect 15 distinct product categories in real-world conditions. Achieved 95% accuracy on the test dataset.
Developed an Android application using Android Studio to deploy the trained model for real-time product detection.

Machine LearningData Science

National sun yat-sen university, taiwan

TEEP@India 2018 Member

May 2018 – Jul 2018 · 2 mos · Kaohsiung City, Taiwan · On-site

One of the 18 students selected from all over India for the Taiwan Experience Education Program (TEEP@India 2018)
Learned about Taiwanese culture, basic Mandarin and earned a certificate of completion for the Mandarin Chinese Language course with 30 class contact hours