Umer Hajam
Associate Director - Product Engineering
Associate Director - Product Engineering with extensive experience in delivering AI-driven solutions,
leading cross-functional teams, and implementing large language models (LLMs),
RAG-based systems, and advanced search engines to optimize business operations.
Adept at managing microservices and AI integrations, fostering innovation and
efficiency. Recognized for contributions to curriculum development, mentorship, and
leadership in data science and AI. Proficient in cloud technologies including AWS,
Azure, and GCP, ensuring scalable and efficient solutions.
+91 7889911471
umerayoub54@gmail.com
Bengaluru, India
Professional Experience
My career journey in data science and artificial intelligence
10/2024 - Present
Bengaluru
Associate Director - Product Engineering
Emplay Analytics
- Led data science teams in designing solutions, resulting in a 25% improvement in project delivery times.
- Designed an SaaS based agent leveraging AWS-Bedrock, reducing bot setup time by 98% and enabling deployments within 10 minutes.
- Spearheaded advanced analytics strategies, aligning data science initiatives with business objectives to drive growth.
- Architected innovative AI solutions, integrating cutting-edge technologies to enhance operational efficiency.
09/2023 - 09/2024
Bengaluru
Data Scientist II
Emplay Analytics
- Led the development of an AI Tutor Bot using LangChain, LLM's and knowledge assessment tools, increasing user engagement by 30%.
- Delivered IT support bots on Azure and AWS Marketplaces, automating 80% of support processes.
- Developed workflows with GPT-4 Turbo, improving system response times by 40%.
- Integrated LLMS and RAG architectures for a telecom client, reducing support tickets by 20%.
- Reduced project implementation time by 70% through introduction of a standardized ITSM template.
- Developed systems utilizing NLG techniques for content generation and conversational agents, improving the user experience with contextually relevant and coherent responses.
02/2022 - 09/2023
Bengaluru
Data Scientist
Emplay Analytics
- Built scalable microservices for Elasticsearch index migration using Fast API and Docker, processing over 1.3 million documents.
- Automated sales pitch evaluations with an AI tool, reducing feedback time by 85% and improving sales efficiency by 25%.
- Integrated semantic and keyword searches, increasing NDCG score by 140% and reducing query response time by 50%.
- Trained a Random Forest Classifier, improving QAG quality by 70% through advanced feature engineering.
03/2021 - 02/2022
Remote
Data Science Intern
Emplay Analytics
- Enhanced information retrieval accuracy by 15% and created Tableau dashboards for insights.
- Engaged in feature engineering to enhance predictive model performance.
- Contributed to development and implementation of impactful NLP solutions.
March 2021 – February 2022
Remote
Machine Learning Engineer
Think Dignity International-India
- Developed and deployed an Indian number plate recognition system using YOLO and OCR techniques, achieving 97% accuracy in real-time scenarios.
- Designed and implemented a coal mine safety monitoring system using computer vision and sensor fusion techniques to detect hazardous conditions.
- Managed the entire machine learning project lifecycle—from data acquisition and preprocessing to model deployment and performance monitoring.
- Collaborated cross-functionally with engineering and safety teams to ensure real-world applicability and robustness of deployed models.
March 2021 – February 2022
Remote
Data Science Intern
Zebo.ai
- Designed and implemented a hair fall categorization system for diagnosing four major types of baldness using image analysis and pattern recognition.
- Developed and trained a Convolutional Neural Network (CNN) model to detect ringworm infections from dermoscopic images, achieving high precision and recall.
- Built a CNN-based deep learning pipeline for early detection of skin cancer, optimizing the model for sensitivity and minimizing false negatives.
- Contributed to dataset curation, pre-processing pipelines, and performance evaluation of diagnostic models under real-world constraints.
- Collaborated with medical professionals and AI researchers to refine clinical accuracy and ensure ethical AI deployment.
March 2021 – February 2022
Remote
Machine Learning Mentor
Technocolabs Software
- Joined as a Data Science Intern, contributing to multiple ML projects and gaining practical experience in model development and evaluation.
- Promoted to Machine Learning Mentor after showcasing leadership and technical skills in team-based projects.
- Led two project teams (15 members each) through successful end-to-end machine learning deployments with tangible impact.
- Conducted regular team meetings, resolved blockers, and ensured timely progress across all phases of development.
- Instilled best practices in version control, documentation, and collaborative coding to streamline the development process.
- Mentored junior interns, sharing domain knowledge and offering guidance to help them upskill and achieve project milestones.
- Fostered a team culture focused on innovation, open communication, and problem-solving.
March 2021 – February 2022
Remote
AI Product Design Intern
School Of Innovation and Leadership
- Designed and developed a personalized book recommendation system using collaborative filtering and NLP techniques, increasing user engagement by 40%.
- Performed user persona analysis and modeled user preferences to enhance recommendation accuracy and UX design alignment.
- Integrated the recommender engine into the platform, incorporating UI/UX feedback to ensure seamless product interaction.
- Collaborated with cross-functional teams including developers and designers to iteratively improve the AI product design.
- Documented development processes and presented insights to stakeholders to inform future product iterations.