Dheeraj Baiju

AI Researcher

Bengaluru, Karnataka, India2 yrs experience

Most Likely To Switch

Key Highlights

Research experience at prestigious institutions like IISc and IIT Delhi.
Contributed to projects accepted at ICCV 2025.
Developed innovative solutions in AI for agriculture.

Stackforce AI infers this person is a Research-focused candidate with strong skills in AI and Machine Learning.

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Skills

Core Skills

Machine LearningComputer VisionJavaSpringboot

Other Skills

Deep LearningNatural Language Processing (NLP)Research SkillsMySQLPython (Programming Language)SpringSpring Data JPASpring HibernateSpring DAOSpring Data JDAJenkinsDistributed SystemsOverleafPyTorchComputer viaion

Experience

Indian institute of science (iisc)

Research Assistant - Visual Computing Lab

Sep 2025 – Present · 6 mos · Bengaluru, Karnataka, India

Kotak IISc AI/ML Centre (KIAC) Predoc Fellow.
Working in the intersection of diffusion and vision-language models.

Machine LearningDeep LearningComputer VisionNatural Language Processing (NLP)Research Skills

Myntra

Software Engineering Intern

Jan 2025 – Jun 2025 · 5 mos · Bengaluru, Karnataka, India · On-site

Decided to try my luck in research.
Backend engineer on the Cart & Payments team within the Storefront charter. Worked on revamping the legacy Address Service from Java 8 & Spring to Java 21 & SpringBoot.

JavaSpringbootMySQLPython (Programming Language)Spring

Indian institute of technology, delhi

Research Collaborator

Oct 2024 – Mar 2025 · 5 mos · Remote

Worked on Topological Deep Learning. Accepted at ICCV 2025.

University of southern california

Research Intern

Jul 2024 – Oct 2024 · 3 mos · Remote

Worked on model calibration of LLMs. Implemented temperature scaling to a fine-tuned Flan T5 and achieved a reduction in calibration error.

Birla institute of technology and science, pilani

3 roles

Research Intern

Promoted

Jun 2024 – Aug 2024 · 2 mos

Worked under Prof. Poonam Goyal on the AI for agriculture project sponsored by the Ministry of Education.
Analyzed univariate time series crop data and designed a parallel Bayesian framework that outperformed APSIM simulations with a 10% gain in wheat yield prediction.

Teaching Assistant

Jan 2024 – May 2024 · 4 mos

TA for Microelectronic Circuits under Prof. Anu Gupta. Held LT spice sessions for 150+ students, constructed assignment questions and evaluated lab examinations.

Undergraduate Research Assistant

Jul 2023 – May 2024 · 10 mos

Worked with Prof. Tejasvi Alladi on scaling PBFT consensus for vehicular networks and co-authored a paper: An Efficient and Scalable Byzantine Fault Tolerant Consensus for Vehicular Networks. Published at the IEEE Transactions on Vehicular Technology (TVT).

Csir-ceeri

Research Intern

Jun 2023 – Aug 2023 · 2 mos · Pilani, Rajasthan, India · On-site

Worked on the project titled: Sub-Ghz enabled micro-imaging system for medical applications via capsule endoscopy.
Excelled as one of the top student interns among 100 students during the tenure.