Summary
Vikram Bajaj is a Machine Learning Engineer with 11 years of experience building production ML systems across finance and healthcare, currently developing NLP-driven litigation analytics at Bloomberg Law. He led end-to-end development of a microservices-based document management and OCR platform at Deutsche Bank that reduced manual processing and generated revenue impact, and has hands-on expertise in CV, NLP, and deployment automation. An NYU MS graduate with a strong academic record, he has shipped deep learning models for dermatology triage and signature verification, and implemented pragmatic SVM/NLP solutions to improve OCR quality. Known for bridging research and production, he pairs algorithmic rigor with systems thinking—having set up Kafka clusters, CI/CD pipelines, and cross-team data standards to scale ML in regulated environments.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science Engineering, 9.58/10, Bachelor of Technology (B.Tech.), Computer Science Engineering, 9.58/10 at Gitam University, Hyderabad
Master of Science - MS, Computer Science, 3.93/4.0, Master of Science - MS, Computer Science, 3.93/4.0 at NYU Tandon School of Engineering
ICSE, Regular/General High School/Secondary Diploma Program, 96.4%, ICSE, Regular/General High School/Secondary Diploma Program, 96.4% at Kalpa School, Hyderabad
Intermediate, Mathematics, Physics and Chemistry, 96.8%, Intermediate, Mathematics, Physics and Chemistry, 96.8% at Sri Chaitanya Junior College, Hyderabad
English, Hindi, French, Sindhi