Lokesh Kumar Email & Phone Number

Bengaluru, Karnataka, India

Google Ads Privacy Centric Measurement Team

Designed, developed, deployed and currently owning Daijob’s AI recommendation system. It displays matching job seeker profiles to our clients and reciprocally showcases relevant job postings to close to amillion job seekers⋄ Collaborated extensively with a diverse cross-functional team consisting of devs, recruiting experts,salespersons and ensured alignment with business objectives⋄ Implemented NLP techniques for English and Japanese text utilising spaCy and Fugashi… Show more Designed, developed, deployed and currently owning Daijob’s AI recommendation system. It displays matching job seeker profiles to our clients and reciprocally showcases relevant job postings to close to amillion job seekers⋄ Collaborated extensively with a diverse cross-functional team consisting of devs, recruiting experts,salespersons and ensured alignment with business objectives⋄ Implemented NLP techniques for English and Japanese text utilising spaCy and Fugashi libraries.Trained word embedding models on a curated corpus of job and resume data and deployed them,significantly improving the semantic understanding of industry-specific language⋄ Developed the Web UI and Backend of the system along with a business logic based post-processingmodule as part of the existing website in Ruby on Rails⋄ Set up the entire AWS infrastructure for the system from scratch. Leveraged Elasticsearch k-NN for fastApproximate Nearest Neighbour vector search and scaled the system using AWS Lambda containerdeployment to handle bulk job uploads from major clientsDesigned, developed, deployed and currently owning Daijob’s Customer Retention Rate (CRR) prediction system. It forecasts the probability of renewal of client contracts⋄ Built data pipelines to extract, clean, and generate features from data acquired from Salesforce andinternal databases, improving the quality and availability of datasets for experimentation⋄ Performed feature engineering employing statistical analysis and Deep Feature Synthesis. Initiatedmodel development by establishing benchmarks using selected ML algorithms⋄ Used SHAP methodology for interpreting model predictions, providing insights to the sales team andenhancing our client retention strategies Show less

Tokyo, Japan

⋄ Designed an ML-based system to assist recruiters in matching resumes and job profiles⋄ Researched and experimented with different recommendation algorithms, word embedding techniques and similarity measures. Finalised a pipeline and generated sample results for qualitative evaluation⋄ Created a prototype, along with design docs to create a complete product, which included UI diagrams, AWS deployment plan and presented work to the company leadership. Received approval for the project

Bachelor Of Technology, Computer Science And Engineering, 8.68/10 (Top 15% In Cse Branch)

90.6%