AdiVishnuAvula
Software engineer. Backend systems and applied machine learning.
Hyderabad, India. Open to opportunities.
Professional
Darwinbox, Core Engineering
Audit trails, access control, provisioning pipelines and localisation for an enterprise HR platform, shipped over eighteen months as an intern and then SDE-1.
Experience
Jul 2025Aug 2026
Darwinbox, Core Engineering
Hyderabad, India
- Drove the multi-phase migration of the audit trail system to a dedicated microservice across 65+ entity models over three releases, with no disruption to production audit coverage.
- Refactored the location provisioning pipeline from a scheduled CRON job to real-time, event-driven creation, removing a bottleneck that implementation teams hit on every rollout.
- Contributed to the design and delivery of Effective Date History, enabling point-in-time snapshots of employee data.
- Designed and delivered an automated Template Permission Role system for tenant-level HR access control across organisational hierarchies.
- Diagnosed and resolved defects across the bulk data import modules for employee and organisational record ingestion.
- Implemented Multi-Language Framework support to close gaps in i18n coverage for multilingual enterprise deployments.
Jan 2025Jun 2025
Darwinbox
Hyderabad, India
- Built a simulation framework in Next.js for custom automation workflows, so teams could preview workflow behaviour against production-equivalent configuration before going live.
Feb 2023Mar 2024
McCarthy Lab, Next Tech Lab
SRM University AP
- Research and development on machine learning applications and web technologies.
Projects
Halflife
A free flashcard app with two schedulers: Anki's SM-2 formula and a half-life regression model trained on 12.85 million Duolingo reviews. Every review records what both would do, and the model takes over only when it wins on real data.
MF Compass
Ranks Indian mutual funds by outperformance against their category average instead of raw returns. Free, anonymous, refreshed daily.
More projects
Everything else
CampusFusion
Role-based school ERP with dashboards for administrators, teachers, students and parents.
iCho
Head-tracking audio assistant that adjusts volume from where your face is, hands-free.
Twitter Sentiment Analysis
Sentiment extraction and visualisation over Twitter data with Spark and R.
Research
Predicting optical scattering in heart tissue
Light in the near-infrared band scatters as it passes through heart muscle, and how much it scatters says something about the tissue. Measuring that directly is expensive, so we generated scattering values from an analytical tissue model and trained four regression models to predict them at wavelengths that had not been measured. A small study; the point was to test whether machine learning can stand in for the measurement.
B.Tech capstone, unpublished
Leveraging Deep Learning for Automatic Feature Extraction in Microarray Analysis
Classifying five cancer types from gene expression data, where there are far more genes than samples and deep learning overfits on its own. Selecting features first and then training a neural ensemble worked well. The same data fed straight into image-style deep networks barely beat guessing.
About
I am Adi Vishnu Avula, a software engineer from Hyderabad. For the last year and a half I worked at Darwinbox, most of it in the Core Engineering team, on the systems underneath an enterprise HR platform: audit trails, permissions, provisioning pipelines, localisation. Before that I finished a Computer Science degree at SRM University AP with a gold medal.
I like problems where correctness is the feature: a ledger that has to balance, or an import that must not write the same record twice. On the side I build tools I use myself: Halflife, a flashcard app with a trained scheduler, and MF Compass. I also co-authored a Springer chapter on predicting optical scattering in heart tissue with machine learning.
Outside work: personal finance spreadsheets, and games that end at 2am.
Record
- Education
B.Tech, Computer Science and Engineering (Big Data Analytics specialization)
SRM University AP, Amaravati, India. 2021 to 2025.
Gold Medalist. CGPA 9.40 of 10. Rank 1 in specialization.
- Honors
Gold Medalist 2025
B.Tech Computer Science and Engineering, SRM University AP. CGPA 9.40. Rank 1 in the Big Data Analytics specialization.
Amazon ML Summer School 2024
Participant. Instructor-led sessions on machine learning, deep learning, generative AI and large language models.
Founder's Scholarship 2021
SRM Institute of Science and Technology. All India Rank 33 in SRMJEEE among more than 200,000 candidates.
- Certifications
- Stack
Languages
- TypeScript
- JavaScript
- Python
- Java
- PHP
Backend
- Node.js
- FastAPI
- PostgreSQL
- MongoDB
- REST API design
- Event-driven architecture
Frontend
- React
- Next.js
- Tailwind CSS
Machine learning
- PyTorch
- scikit-learn
- pandas
- NumPy
Infrastructure
- GitHub Actions
- Vercel
- AWS