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Engineering Manager | Inventor | Entrepreneur
Ajay Anand is a seasoned technology leader with around 12 years of cross-sector experience spanning private industry, academia, government advisory, and entrepreneurship. His journey includes: - 9+ years in private technology companies - 2 years in U.S. and Japanese research universities - 4+ years as a technology advisor to governments across 5 countries - 5+ years in architectural and leadership roles (managing teams of 30+ and portfolios exceeding $100M) - 4 years as a professor and tutor - Founder of a technology startup and inventor of 4 U.S. patents - Professional exposure in both India and the United States Ajay’s expertise spans software engineering, data science, product innovation, and social impact. He is currently leading the engineering team at Zeta, managing the company’s Benefits SaaS platform. Previously, he headed engineering efforts at Brane Enterprises for their no-code backend division. At Cisco, he contributed to advanced self-driving network solutions and spearheaded the digitization of Cisco’s software bug portfolio—impacting over $100M in operational costs. He has successfully led projects from concept to market, working closely with cross-functional teams and senior executives to deliver business-critical technologies. Ajay’s domain strengths include: - Patient healthcare and clinical applications - Self-driving and autonomous network systems - Digital transformation of software development processes - Data-driven architecture and intelligent task scheduling - No-code platforms and enterprise cloud apps Technologically, he is hands-on with a wide stack including Java, Python, C, JavaScript, MySQL, Redis, AWS, Docker, Linux, REST APIs, NumPy, TensorFlow, and Snowflake. Ajay is passionate about leveraging technology for social good. Over the past five years, he has collaborated with NGOs, governments, and academic institutions to
University of Southern California
Master of Science, Computer Science
August 1, 2017 – June 1, 2019
National Institute of Technology, Kurukshetra, Haryana
Bachelor of Technology (B.Tech), Information Technology
July 1, 2010 – June 1, 2014
Guru Harkrishan Public School
Higher Secondary, Science (Physics, Chemistry, Mathematics, English)
May 1, 2008 – May 1, 2010
Zeta
Engineering Manager
October 1, 2024 – Present
Hyderabad, Telangana, India
Stealth Mode
Engineering Manager
September 1, 2024 – October 1, 2024
Hyderabad, Telangana, India
Brane Group
Senior Solution Leader
May 1, 2024 – August 1, 2024
Hyderabad, Telangana, India
Brane Group
Solution Leader
May 1, 2023 – May 1, 2024
Hyderabad, Telangana, India
Cisco
Lead Software Engineer
June 1, 2022 – May 1, 2023
Cisco
Senior Software Engineer
June 1, 2019 – June 1, 2022
University of Southern California
Graduate Software Engineer at Emotion & Cognition Lab
August 1, 2018 – May 1, 2019
Los Angeles, California, United States
Juniper Networks
Software Engineering Intern
May 1, 2018 – August 1, 2018
Sunnyvale, California, United States
University of Southern California
Graduate Software Developer at CAIS (Center for Artificial Intelligence in Society)
December 1, 2017 – May 1, 2018
Los Angeles, California, United States
University of Southern California
Machine Learning Researcher
September 1, 2017 – May 1, 2018
Los Angeles, California, United States
Juniper Networks
Software Engineer, Inventor
December 1, 2015 – June 1, 2017
Bengaluru, Karnataka, India
Samsung Electronics
Software Engineer, Inventor
July 1, 2014 – December 1, 2015
Bengaluru, Karnataka, India
Indian Institute of Technology Bombay
Software Engineering Intern
May 1, 2013 – July 1, 2013
Mumbai, Maharashtra, India
Online hotel reviews classification using NLP
January 1, 2019 – February 1, 2019
Implemented Naive Bayes classifier to identify hotel reviews from Web, MTurk, TripAdvisor as either truthful or deceptive, and either positive or negative. Used word tokens as features. Achieved F1 score of 0.897. Implemented Perceptron classifier (vanilla and averaged) to identify hotel reviews from Web, MTurk, TripAdvisor as either truthful or deceptive, and either positive or negative. Used word tokens as features. Achieved F1 score of 0.88. Preprocessed documents for tokenization, removing punctuation in vocabulary and keeping most useful vocabulary. Modelled 3-layer neural network over document vectors, using embedding layer, dropout, and improved F1 score to 0.92 Language: Python
AI for Future Elderly Model to simulate Japan's economic demography
January 1, 2018 – May 1, 2018
Collaborators: Japan government, Stanford University, University of Southern California • Created statistical algorithms and implementation to simulate rising life expectancy of Japan population for 45+ year olds and predict increasing healthcare costs for 127 million population for next 50 years. • Built statistical model using supervised algorithms and conducted experiments on public data gathered from 1914-2011 by Japan government. Technologies: Machine learning (Negative binomial linear regression, temporal learning), data analysis, agent-based simulation model, Markov chain model. Language: Matlab.
Machine Learning for Wildlife conservation with UAVs
December 1, 2017 – May 1, 2018
Collaborators: University of Southern California, Air Shepherd, Microsoft • Developed application to detect moving poachers and animals in near real-time (with latency of 0.38 sec) from video frames coming from UAVs. Used TensorFlow for ML, Azure for cloud infrastructure, Docker for deployment. • Conducted experiment on ten-thousands of frames and videos, and designed algorithm to enhance sampling and prediction accuracy to 85% from deep learning results. • Carried out research on use of Intel Movidius NCS kit to run SPOT app and improve hardware and system performance. Language and Tools: Tkinter, Python, OpenCV, NumPy, Tensorflow.
First order logic driven knowledge collection and reasoning for language system
November 1, 2017 – Present
Developed solution to process the English language, develop a model and infer results. Technologies: first order logic, knowledge representation, reasoning, and planning. Language: JAVA
Machine learning and planning for LA restaurant health inspections
September 1, 2017 – December 1, 2017
Developed algorithms for health risk monitoring and inspection of the restaurants, based on predicting their health score. This will guide Los Angeles County Department of Public Health to plan resources for inspection efficiently. This is based on reviews, rating, price, ambience, working conditions, violations and variety of features. Technologies: web scraping, data analytics, supervised and unsupervised learning techniques. Language and Tools: Python, Scikit-learn, Beautiful Soup, Pandas, NumPy, Matplotlib, Graphviz.
Game playing agent for board games
September 1, 2017 – October 1, 2017
Developed solution to identify the game playing moves in board games. Technologies: game playing, minimax algorithm with alpha-beta pruning, forward checking. Language: JAVA
Search algorithms for managing animals in nursery
August 1, 2017 – September 1, 2017
Built solution to allocate animals in nursery. Used search techniques like BFS, DFS for basic search and Simulated annealing for informed search. Language: JAVA
Network Management Assistant
September 1, 2016 – May 1, 2017
Designed an intelligent system to guide a user (such as network admin) for management of network services. It provides auto-recommendations for day-to-day network operations, provide guide to help new users understand the application and network services, provide options to help resolve threats. Technologies: Linked data, machine learning, language processing, network services, cloud storage and processing, data analysis.
Nstreamer
April 1, 2016 – July 1, 2016
Big data management solution for handling streaming data in network management applications.
Kernel process scheduling using machine learning
January 1, 2016 – August 1, 2016
Developed algorithms and prototyped solution for intelligence in process scheduling, deciding priority and schedule management for kernels. Technologies: scheduling algorithms, machine learning, kernel process and task.
Arm vein sensing in smart watch
September 1, 2015 – November 1, 2015
Novels ways of identifying a person being examined for medical issues, diagnostic and disease test, medical insurance, and remote patient monitoring, conducted using arm vein sensing in smart watch.
Smart Scheduling
September 1, 2014 – July 1, 2015
Advancement in the scheduling of linux kernel for power saving and efficient utilization of resources with the use of a new data structure for storage and processing.
Opinion Mining and Sentiment Analysis for Customer’s Movie Reviews
January 1, 2014 – May 1, 2014
Analyzing positive and negative sentiments of movie reviews from online dataset.
Critical Path Scheduling for Power Optimization in Grid System
October 1, 2012 – December 1, 2013
Developed algorithms for energy-aware scheduling in grid systems.
Introduction to Finance, Accounting, Modeling, and Valuation
Udemy
June 24, 2026 – Present
Software Design as an Abstraction
Coursera
June 24, 2026 – Present
Storytelling to Influence
Udemy
June 24, 2026 – Present
Business Fundamentals: Marketing Strategy
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is highly diverse, spanning AI for healthcare, wildlife conservation, network management, and financial modeling. This breadth of experience, coupled with collaborations with academic institutions and government bodies, suggests adaptability and a strong interest in applying technical skills to various domains. The transition from engineering roles to leadership positions (Engineering Manager, Solution Leader) and involvement in innovation initiatives indicates a proactive and growth-oriented mindset, aligning well with a dynamic work culture. The target role of 'Data Analyst' aligns with the candidate's strong background in data analysis, machine learning, and statistical modeling, making them a good cultural fit for data-driven organizations.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles, team management, and collaboration with various stakeholders (product teams, DevOps, senior executives, external collaborators like Japan government, Stanford, Microsoft). This indicates strong communication, teamwork, and operational fit. Their involvement in intrapreneurship (BugBuddy) and innovation teams suggests initiative and problem-solving capabilities. The descriptions of projects and roles are generally clear and well-structured, demonstrating good communication skills.