अभि
Abhishek Goyal

Abhishek Goyal

AI Developer

About

I’m Abhishek Goyal, an AI engineer with an M.Tech in AI from IIT Delhi. Previously, I worked at Stonewain Systems (an EquiLend company) as a senior Java developer, building back-office applications for the US money market. With my experience in scalable applications and AI, I don't just train models; I build intelligent systems. My areas of interest include Reinforcement Learning, scalable AI systems, mechanistic interpretability of LLMs, and foundation models.

  • • Recently: Integrating GenAI into a smart marketing application at PayU Innovations.
  • • Previously: As part of my Master's thesis, I built a vision foundation model using DINO on histopathology, primarily for its advantages in spatial transcriptomics.
  • • Note: Feel free to email me to collaborate on new ideas or for freelance and job opportunities.
See projects Work experience

Summary

Education
M.Tech AI (IIT Delhi)
Focus
Intelligent Applications (Embedding scalable and cost-effective AI into legacy applications)
Development Experience (2.5+ yrs)
Securities Finance · Intelligent Marketing
Tooling
Java · Python · SQL · AWS · PyTorch · Django · Spring Boot

Projects

Expected Maximization (Bayesian Networks)

Learning the parameters of a Bayesian network for disease diagnosis.

GitHub

Graph Partitioning using RL

Solving graph partitioning using PPO to achieve a lower normalized-cut objective.

GitHub

Vision Foundation Model for Histopathology

Built a foundation model using DINO on histopathology images for use in spatial transcriptomics.

Confidential

Hate Meme Classification

Classification of textual and visual data using multimodal models.

GitHub

Education

M.Tech. in Machine Intelligence & Data Science (MINDS)

Indian Institute of Technology Delhi • CGPA: 8.85/10

Key Subjects

  • Deep Learning for NLP
  • Reinforcement Learning
  • Advanced Computer Vision
  • Mechanistic Interpretability of LLMs
  • Data Mining
  • Social Network Analysis
  • Stochastic Processes

B.E. in Electronics & Computer Engineering

Thapar Institute of Engineering & Technology • CGPA: 9.63/10

Key Subjects

  • Digital Signal Processing
  • Operating Systems
  • Database Management Systems
  • Machine Learning
  • Computer Architecture
  • Data Structures & Algorithms
  • Digital & Analog Communication

Experience

PayU Innovations (Data Science Vertical of PayU)

June 2025 – Present

Data Engineer • Python, Django, Celery, Redis, AWS, Claude, PySpark

  • Data/ML engineering for an intelligent marketing application (Statica).

Functional Genomics Lab (IIT Delhi)

June 2023 – June 2025

AI Researcher • Advanced Computer Vision, AI for Healthcare in India

  • Addressing the urgent need for India-specific healthcare foundation models.
  • Presented a state-of-the-art (SOTA) foundation model for histopathology.
  • Developed a supervised model based on Dynamic Deformable Convolution (DDConv).

Stonewain Systems, an EquiLend Company

Dec 2021 – Apr 2022

Senior Development Engineer • Java, Apache Camel, Spring Boot

  • Reduced memory leaks by ~10% using VisualVM profiling, improving application stability.
  • Led the migration of a monolith application to microservices, cutting code redundancy by over 30%.
  • Implemented dynamic code updates on a running context, halving deployment downtime.
  • Collaborated with the US team on code reviews to ensure high-quality software development.

Stonewain Systems, an EquiLend Company

Jul 2020 – Nov 2021

Software Developer • Java, Spring Boot, Kafka

  • Engineered a secure SFTP module with a file cache, improving transfer reliability during shutdowns.
  • Overhauled the securities parsing and pricing flow, significantly improving data ingestion time in SQL procedures.
  • Managed the successful upgrade of the codebase from Apache Camel 2.7 to 3.0.

Stonewain Systems, an EquiLend Company

Jan 2020 – Jul 2020

Software Development Intern • Java, Spring Boot, PL/SQL

  • Developed key enterprise integration features for securities finance platforms.
  • Resolved a long-standing data loading bug that caused field mismatches during data import.
  • Identified and fixed a critical bug related to US time zone conversions and Daylight Saving Time adjustments.

Achievements

2025
Presented a novel foundation model for Histopathology in my M.Tech thesis at IIT Delhi.
2024
Reliance Foundation Scholar 2023 (Selected as one of 100 postgraduate students in India based on merit).
2023
Achieved All India Rank 120 in GATE CSE 2023.
2022
Promoted to Senior Java Developer at EquiLend.
2020
Awarded the Thapar University Merit Scholarship for four consecutive years.

Get in Touch

Email LinkedIn GitHub