Aniket Thakur · AI × Product × Finance

Building AI systems, products, and intelligent workflows.

I’m Aniket Thakur — an AI researcher and product builder working across Generative AI, machine learning, fintech, and data-driven products.

Available for AI engineering & product opportunities
Portrait of Aniket Thakur
Aniket Thakur · New Delhi / Okinawa APM & AI Researcher
3.82/ 4.0
GPA · Rank 2
B.Sc. Data Analytics, DSEU
OIST
AI Research Intern
Okinawa, Japan · Graph ML & Multi-LLM
70%
Cycle Reduction
Laya Automated SEO Intelligence System
APM
Drivio Technologies
Dec 2025 – Present · Loan journeys & LMS

Focus & Expertise

Three areas I work across.

Technical rigor combined with product ownership and financial context. Building systems where machine learning models drive measurable business decisions.

01

AI Engineering

Generative AI, multi-LLM orchestration, structured output validation, RAG pipelines, fine-tuning, and systematic evaluation for dependable production workflows.

LLM Orchestration RAG Structured Validation Fine-Tuning
02

Product Ownership

Leading end-to-end loan journeys in two-wheeler and vehicle marketplaces, integrating core banking APIs for KYC, disbursement, and repayment in the LMS, and managing HRX/HRMS operations.

Fintech LMS Banking APIs Stakeholder Alignment Roadmaps
03

Financial Engineering

Pursuing an M.Sc. in Financial Engineering at WorldQuant University. Applying quantitative analysis, risk mechanics, and algorithmic credit automation to real-world financial architectures.

Financial Modeling Credit Automation Quantitative Analytics Risk Dynamics

Selected Work

Featured systems & case studies.

Featured systems designed to automate workflows, solve data ambiguity, and deliver quantifiable operational outcomes.

01 / Flagship System

Laya — Automated SEO Intelligence & Generation System

An automated SEO pipeline that connects live search evidence directly to structured content generation, eliminating manual friction in content production.

Problem Content creation required a faster, grounded path from live search intent to structured, optimized output.
Approach Engineered an end-to-end pipeline integrating targeted web scraping, SERP ranking analysis, and LLMs with strict schema validation.
Web Scraping SERP Analysis Multi-LLMs Schema Validation
70% Reduction in content-creation cycle turnaround time

Validated in production. Connected Google search intent analysis with automated, structured markdown synthesis.

02 Data Product

Prompt-Based Business Intelligence System

Natural-language query engine over SQL databases enabling non-technical stakeholders to perform self-serve exploratory analysis and executive reporting.

Natural Language SQL Data Analytics
03 Workflow Automation

osTicket — AI / Automated Ticketing Workflow

Integrated LLM categorization and automated response routing into support desk operations to triage tickets by urgency and reduce resolution lag.

LLM Routing Triage Automation Support Desk
04 Generative AI

AI Content Generation & Multi-LLM System

Multi-model orchestration framework utilizing structured output validation to deliver consistent, deterministic copy across multi-channel marketing campaigns.

Multi-Model Structured Outputs Orchestration
05 EV Infrastructure

FastCharger — EV Charging Discovery Infrastructure

A mobile-first EV charging discovery platform foundation with provider ingestion, data normalization, geospatial PostgreSQL/PostGIS storage, typed APIs, and India-first routing.

Next.js 16 TypeScript PostgreSQL PostGIS Drizzle ORM Zod Vitest

Track Record

Career progression.

Experience across high-growth fintech, international AI research, and early-stage startup advisory.

Download complete CV ↓
Gurugram, India

Associate Product Manager

Drivio Technologies

Own end-to-end loan journeys for a two-wheeler marketplace, align cross-functional stakeholders, and integrate core banking APIs for KYC, loan disbursement, and repayment in the Loan Management System (LMS). Managed HRX/HRMS operations and built LLM content-generation agents with structured output validation, optimizing latency and consistency.

Loan Journeys Core Banking APIs LMS & HRX LLM Validation
Okinawa, Japan

AI Research Intern

Okinawa Institute of Science and Technology (OIST)

Developed Graph Neural Network (GNN) algorithms to analyze complex ecological food webs and model energy-flow dynamics, boosting predictive accuracy. Engineered data pipelines using multi-LLM ensembles (Gemini, DeepSeek, Anthropic, OpenAI) to synthesize semantic representations from unstructured scientific literature.

Graph Neural Networks GraphSAGE & GAT Multi-LLM Ensembles Complex Systems
Gurugram, India

Business Analyst

Drivio Technologies

Led AI implementation for a used-car finance system, deploying LLM automation to accelerate loan processing and automated credit decisions. Fine-tuned marketing LLM content agents, automating multi-channel asset creation across acquisition channels.

Credit Decisions Fintech Automation Fine-Tuning Marketing AI
New Delhi, India

Business Consultant & Analyst

Analy Assist

Facilitated go-to-market (GTM) launches for four early-stage startups across food, health, and fashion through market research and cross-functional execution. Delivered rigorous cost analysis and executive reports that reduced operational expenses by 15%.

GTM Launches Cost Analysis (-15%) Startup Advisory

Academic Research · OIST Japan

Graph Neural Networks for ecological food-web modelling.

At the Okinawa Institute of Science and Technology (OIST), my research focused on computational modeling of complex ecological networks. Food webs describe intricate trophic dependencies and energy-flow dynamics across species communities.

By developing inductive Graph Neural Network algorithms (incorporating GraphSAGE and Graph Attention Networks), we modeled non-linear trophic interaction probabilities, capturing topological centrality and community structures that traditional pairwise models overlooked.

Alongside structural GNN modeling, I engineered semantic synthesis pipelines leveraging multi-LLM ensembles (Gemini, DeepSeek, Anthropic, and OpenAI) to standardize, cross-verify, and ingest ecological literature into structured topological datasets.

Academic Background

Education & foundations.

Mathematical, statistical, and quantitative groundwork in financial engineering and data analytics.

2025 – 2027 · In Progress

M.Sc. in Financial Engineering

WorldQuant University

Advanced quantitative modeling, portfolio theory, derivative pricing, and algorithmic risk management.

2022 – 2025 · Completed

B.Sc. in Data Analytics

DSEU Shakarpur-2 Campus, New Delhi

Statistical computing, predictive modeling, econometrics, and database engineering.

Direct Contact

Let's build something meaningful.

Open to thoughtful conversations around AI engineering, fintech product ownership, and applied research.

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