Associate Product Manager · Drivio Technologies
Leading two-wheeler digital financing journeys, cross-functional engineering delivery, core banking integrations, and structured outbox lead pipelines.
ABOUT ANIKET
I build AI systems, shape products, and investigate complex problems.
My work sits at the intersection of AI engineering, product management, research, and finance. I build software systems, explore how models learn and retrieve information, and translate technical ideas into practical products.
Role 01
AI Engineer
AI applications, backend systems, model integration, automation, and data pipelines. Focused on deterministic safety and clean architecture.
Role 02
Product Manager
Problem definition, prioritisation, requirements, stakeholder coordination, and product delivery. Grounded in user value and execution speed.
Role 03
AI Researcher
Graph neural networks, ecological modelling, scientific literature, and model evaluation. Investigating how models handle non-Euclidean data.
TECHNICAL & PRODUCT TOOLKIT
What I Bring to a Team
Tools and methodologies grounded in real systems delivery, not superficial keyword badges.
Core Engineering
AI & Machine Learning
Problem Solved:
Unstructured data, complex non-Euclidean systems, and ungrounded LLM hallucination require deterministic schema contracts and relational models.
Practiced Techniques & Tools:
Delivery & Strategy
Product Management
Problem Solved:
Turning vague stakeholder ideas and complex workflows into reliable, scoped software specifications that engineering teams can build and measure.
Practiced Techniques & Tools:
Architecture
Backend & Systems
Problem Solved:
Preventing data loss during third-party API downtimes, ensuring transactional integrity, and isolating high-throughput read/write operations.
Practiced Techniques & Tools:
User Experience
Frontend Engineering
Problem Solved:
Presenting dense quantitative analysis, financial calculators, and technical reading material comfortably on smartphones without layout shift or horizontal overflow.
Practiced Techniques & Tools:
Quantitative Methods
Finance & Quantitative Analytics
Problem Solved:
Spreadsheet-based models suffer from silent cell drift and buried assumptions; financial decisions require transparent, auditable calculations.
Practiced Techniques & Tools:
CHRONOLOGICAL RECORD
Career & Education
Chronological experience across product delivery, scientific research, and quantitative education.
AI Research Intern · Okinawa Institute of Science and Technology (OIST Graduate University)
Conducted scientific AI research modeling non-Euclidean ecological food webs with Graph Neural Networks (GraphSAGE, GAT in PyG) and engineered multi-LLM consensus pipelines for literature extraction.
Business Analyst · Drivio Technologies
Analyzed automotive finance operations, modeled customer conversion funnels, and structured LLM-assisted content automation workflows.
Business Consultant & Analyst · Analy Assist
Conducted quantitative market research, prepared go-to-market strategies, and synthesized financial reporting for executive leadership.
M.Sc. in Financial Engineering · WorldQuant University
Advanced graduate study in quantitative asset pricing, computational finance, econometrics, and risk modeling.
B.Sc. in Data Analytics · Delhi Skill and Entrepreneurship University (DSEU Shakarpur-2)
Undergraduate foundation in applied statistics, machine learning, relational database architecture, Python, and SQL.
NEXT STEPS
Have a problem that needs engineering, research, or product thinking?
I am always glad to discuss AI architecture, quantitative modeling, product roadmaps, or research questions.