MS in Computer Science
Graduation: May 2023
GPA: 3.8/4.0
New York University (Courant Institute of Mathematical Sciences)
View degree certificateAbout
Tejas Mahajan is a software Engineer specializing in large-scale data systems and applied machine learning, with experience building production-grade platforms that power mission-critical financial and ML applications. Recently at MerQube, I architected their scalable equity and options data pipelines and unified data access layers that support complex index computation workflows with zero downtime. My background spans distributed systems, cloud-native infrastructure, and end-to-end ML deployment — from research-grade deep learning models to containerized, serverless production systems. I’m particularly interested in building intelligent, reliable systems at the intersection of data infrastructure, robotics, and autonomous decision-making.
Education
BE in Computer Engineering
Graduation: May 2018
GPA: 3.8/4.0
University of Pune (Maharashtra Institute of Technology)
View degree certificateInterests
- Computer Vision
- Reinforcement Learning
- MLOps
- Agentic Systems
- Backend Software Development
- Generative AI
- Distributed Systems
- Large Language Models
Experience
Software Engineer (Data Team)
MerQube, Inc
San Francisco, USA
July 2023 - Present
- Migrated equity reference and end-of-day pricing pipelines to a new provider platform with zero downtime.
- Built a scalable options data platform with ingestion, monitoring, and a unified access layer for multi-asset index development.
- Automated validation checks for end-of-day prices and corporate actions across providers, improving consistency and override control.
Perception Software Intern (Acoustic ML Team)
Zipline International
South San Francisco, USA
June 2022 - Aug 2022
- Analyzed large flight-data corpora to identify spatial and temporal causes of false positives between airborne and ground objects.
- Fine-tuned intruder detection models with hard negatives to reduce false positives while preserving sensitivity.
Data Scientist
Karza Technologies Pvt. Ltd. (Acquired by Perfios Technologies Pvt. Ltd.)
Mumbai, India
Sept 2018 - Mar 2020
- Delivered an end-to-end OCR pipeline for KYC documents using synthetic data generation, validation, and training modules.
- Built a lightweight CTC-based text recognition reformulation to improve latency-versus-quality trade-offs.
- Shipped deep learning inference on AWS Lambda and GPU instances with compute, memory, and latency optimization.
Machine Learning Intern
Marsplay (Acquired by Foxy)
New Delhi, India
Aug 2018 - Mar 2019
- Developed and fine-tuned fashion image object detection models spanning 20 classes across upper/lower body clothes and footwear.
- Extracted dominant colors from detected objects and mapped them to their closest color names.
- Deployed the models as REST APIs packaged as dockerized microservices.
Projects
Dec 1, 2025
Helios AI (xAI Hackathon)
Helios AI transforms solar farms from reactive assets into self-monitoring, self-diagnosing systems dramatically reducing inspection time and unlocking continuous, autonomous operations.
Dec 1, 2022
Exploring the Potential of Federated Learning for Medical Image Analysis in Non-IID Settings
Implemented a federated learning extension of ConVIRT to study privacy-preserving contrastive representation learning for medical image analysis under IID and Non-IID data distributions.
Dec 1, 2021
TEASEL: A Transformer-based Speech-Prefixed Language Model
Implementation of the TEASEL paper, demonstrating speech-conditioned Transformer prefixing for efficient multimodal sentiment prediction.
Implementation of a research paper.
Aug 1, 2020
Cartoonizer
An ML-powered app that stylizes real-world images and videos into expressive cartoon visuals.
May 1, 2018
Understanding Effective and Emotional Components in Advertisements
Explored neural architectures for predicting advertisement effectiveness and affective dimensions (arousal & valence) from multimodal visual data.
Accepted as a paper at the CVPR 2018 Ads Workshop.
Accomplishments
Deep Learning Auto Tagging Competition (HackerEarth)
Competitive challenge on automatic image tagging.
Udacity Artificial Intelligence Nanodegree
Credential and full course information.
Udacity Deep Learning Nanodegree
Credential and full course information.
Blog
Jun 17, 2021 · 1 min read
ExternalHow we built an inexpensive, scalable architecture to cartoonize the world!
Describes how we designed and deployed a low-cost, scalable system to serve ML-powered image and video cartoonization to users worldwide.
Jan 16, 2019 · 1 min read
MediumMachine Learning — Should you be a first mover or fast follower?
Explores whether in machine learning it’s better to innovate as a first mover or strategically enter later as a fast follower, weighing the advantages and drawbacks of each approach.
Contact
Email: tejas.mahajan121@gmail.com
Location: San Francisco, CA, USA