Vineet Chotaliya

Product Engineer

Mumbai, Maharashtra, India1 yr 5 mos experience

Key Highlights

  • Expert in machine learning and backend systems.
  • Proven track record in fintech and quantitative finance.
  • Strong experience in developing scalable systems.
Stackforce AI infers this person is a Fintech and AI specialist with strong backend development skills.

Contact

Skills

Core Skills

DockerKafkaMachine LearningDeep LearningBackend DevelopmentMicroservices

Other Skills

Apache KafkaKubernetesData PipelinesSoftware DevelopmentNeural NetworksRedisAsynqGinAsynqmonGoImage ProcessingPyTorchPandas (Software)Computer VisionReact.js

About

Vineet is a Quantitative Developer with experience across backend systems, payments, and machine learning. He completed his B.Tech in Computer Science and Engineering (Data Science) with honors in Computational Finance from Dwarkadas Jivanlal Sanghvi College of Engineering. Vineet has previously worked at organizations like Juspay, GoQuant, Oracle, Fynd, IIT Bombay, Kissht, where he built and contributed to systems at scale across fintech and backend engineering. His interests lie at the intersection of low-latency systems, quantitative finance and machine learning.

Experience

1 yr 5 mos
Total Experience
11 mos
Average Tenure
2 mos
Current Experience

Irage

Quantitative Developer

Mar 2026Present · 2 mos · Mumbai, Maharashtra, India

Juspay

2 roles

Software Developer Engineer

Jul 2025Mar 2026 · 8 mos · Bengaluru

  • UPI payments inside merchant apps via BHIM.
  • UPI Circle (delegated payments for family & trusted contacts).
  • UPI Payments via biometric authentication.

Intern

Jan 2025Jun 2025 · 5 mos · Bengaluru

  • - Occasionally breaking prod.

Stealth

Quantitative Developer

Dec 2024Mar 2026 · 1 yr 3 mos · Miami, FL · Remote

  • - Everything crypto.

Oracle financial services software limited

Project Intern

Jun 2024Aug 2024 · 2 mos · Mumbai Metropolitan Region

  • Received a Pre Placement Offer
  • Dockerized the Oracle WebLogic Server for Aiful Corporation, one of Japan's leading consumer finance companies, streamlining deployment and scalability.
  • Configured and deployed Kafka with SSL on Kubernetes, enhancing data security and ensuring reliable messaging within the internal infrastructure.
  • Automated AWR report comparisons, enabling quicker identification of performance trends and anomalies across multiple environments.

Fynd (shopsense retail technologies ltd.)

Machine Learning Engineer

Feb 2024Apr 2024 · 2 mos · Mumbai

  • Worked on diffusion models for image generation.
  • Using millions of images so the model could learn what “Indian context” actually means.
  • Accidentally became VERY good at scraping.
  • Large-scale data pipelines for scraping, cleaning, and dataset curation.

Amazon

Amazon ML Summer School

Sep 2023Oct 2023 · 1 mo

  • - Selected for the Amazon's ML Summer School, where I attended a series of comprehensive lectures from September to October. The program covered various machine learning topics, including Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probabilistic Graphical Models, Sequential Learning, Causal Inference, and Reinforcement Learning, enhancing my practical knowledge of machine learning for real-world applications.

Indian institute of technology, bombay

Software Engineer (Machine Learning)

Aug 2023Feb 2024 · 6 mos · Mumbai, Maharashtra, India · Remote

  • Contributed to Bhashini AI, an open-source initiative by the Indian government, by developing backend APIs for table detection, data extraction, and layout preservation from images. Successfully optimized inference time for analysis, reducing it from 34 seconds to 6 seconds.
  • Additionally, contributed to the fine-tuning of a model inspired by TableMaster and TATR as part of Project LeapOCR, delivering superior table detection performance for OTSL sequences, surpassing the current state-of-the-art MTL-TableNet for Indic languages.
Deep LearningSoftware DevelopmentNeural NetworksMachine Learning

Ring

Software Engineer

Jun 2023Aug 2023 · 2 mos · Mumbai, Maharashtra, India

  • - Worked under the Payments and Settlements department on developing a microservice from scratch Distributed Job Scheduler. Enabled seamless task scheduling, processing, real-time monitoring providing efficient task management solution to organization's internal processes.

Header js

Social Media Management Intern

Oct 2020Nov 2021 · 1 yr 1 mo · Mumbai, Maharashtra, India

  • Managed ,created content and conducted quizzes and various events related to
  • Web Development and other frameworks, developed media plans and updated the
  • social media with focus on increasing awareness and engagement.
RedisApache KafkaAsynqDockerGinAsynqmon+3

Education

Dwarkadas J. Sanghvi College of Engineering

Honors — Computational Finance

Aug 2023May 2025

Dwarkadas J. Sanghvi College of Engineering

Bachelor of Technology - BTech — Computer Science and Engineering (Data Science)

Jan 2021Jan 2025

SVKM's Acharya Ambalal V Patel Jr College

HSC

Aug 2019Mar 2021

St. Xavier's High School & Junior College

SSC

Mar 2019Present

Stackforce found 100+ more professionals with Docker & Kafka

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