Building intelligence
that understands people.

Machine Learning Engineer

Apple · Hyderabad, India · Jun 2022 – Present

Apple Intelligence

Edge cases, captured.

Designed and curated an edge-case dataset covering linguistic variation across English dialects. Evaluated internal LLM performance after updates and investigated production bugs from internal live-on testing.

On-device Siri

200+ capabilities

Improved Siri's model responsiveness by about 10% on average through iterative analysis, domain-level data modeling and retraining.

Siri Translation

नमस्ते, Hindi.

Implemented client-side logic in SiriKit that added Hindi to Siri's machine translation feature, opening it up to new markets.

Release Quality

−80% effort

Automated the asset promotion workflow with global teams, and used LLM-based clustering to segment large bug sets for faster triage.

Analytics

Insights to launch.

Surfaced Siri usage patterns in India with Jupyter and Tableau, which drove the rollout of the English & Hindi UI option.

Speech Data

Better audio. Lower cost.

Led an end-to-end internal user study to improve speech recognition, delivering high-quality audio for well below industry benchmark cost. Also ran the large-scale transcription workflow and built scalable data management to keep quality and throughput high.

Previously

1. 

   Data Science Associate · National Payments Corporation of India

   Hyderabad, India · Nov 2020 – Jun 2022

   • IMPS fraud detection (with IISc): ML pipelines on large, imbalanced transaction data, plus feature engineering and Redis pipelines for production. Saved about ₹50 lakh per month.
   • AML detection (with IIT-H): Graph-based anomaly detection on Neo4j over million-scale financial data.
   • HNDP forecasting: A time-series model predicting monetary reserves for the RBI and NPCI, helping reduce systemic risk.
2. 

   Research Intern · Vestella

   Seoul, South Korea · May – Jul 2019

   Built a hybrid self-adapting recommendation system and an AI system that detects riders without helmets. Also worked on intelligent traffic systems and blockchain.

3. 

   Research Intern · CSIR-CDRI

   Lucknow, India · Dec 2018 – May 2019

   Mined and visualised US education statistics to surface key insights about the system.

4. 

   Summer Trainee · BSNL

   Lucknow, India · Jun 2018

   Learned how the telecom infrastructure behind everyday cellphone calls works.