Professional Experience

A journey through cutting-edge ML engineering, AI research, and data science roles

Senior ML Engineer

Full Time

PVX Partners

Apr. 2025 – Present

Singapore

  • •Researching and developing multimodal AI agents capable of generating real-time commentary for mobile game ads by interpreting video, audio, and on-screen text signals.
  • •Leveraging vision-language models (VLMs) and LLMs in a coordinated agentic framework to describe gameplay events and player actions with contextual flair.
  • •Designed a reinforcement-feedback loop for evaluating commentary quality using engagement and semantic coherence metrics, enabling continuous model refinement.
  • •Optimizing the agent pipeline for low-latency, on-device inference, allowing scalable deployment across diverse ad formats and geographies.
LLMsVLMsReinforcement LearningComputer VisionPythonPyTorch

Applied LLM Engineer

Full Time

Maxim AI

Mar. 2024 – Apr. 2025

Bangalore, India

  • •Developed LLM-based evaluators for automated assessment using optimized Chain-of-Thought prompting and adaptive LangChain callback mechanisms for efficient token utilization.
  • •Fine-tuned a LLaMA model on the AI4Privacy dataset integrated with Presidio, achieving enhanced detection and anonymization of PII in textual data.
  • •Authored the maxim-py SDK, enabling structured logging and quantitative evaluation of LLM workflows for reproducible AI research.
  • •Developed autonomous AI red-teaming agents using the Garak framework to simulate vulnerability assessments in generative AI systems.
LLMsLangChainLLaMAPythonAI SafetyNLP

Data Scientist

Full Time

AB InBev

Aug. 2022 – Mar. 2024

Bangalore, India

  • •Researched and deployed unsupervised clustering models across six European markets, informing strategic segmentation worth $2M+.
  • •Developed delay-risk prediction models for US and Canada logistics, improving forecast precision and operational reliability.
  • •Enhanced existing ML pipelines, achieving a 25% F1-score gain and demonstrating significant EBITDA uplift.
  • •Awarded the 2023 Pint Award for excellence in data science research and impact delivery.
PythonScikit-learnXGBoostSQLData AnalysisML Pipelines

Lead ML Engineer

Volunteer

Turn The Bus, NGO

Nov. 2022 – Present

Remote

  • •Led research on multimodal retrieval-augmented generation (RAG) using ColPali over NCERT textbooks for automated doubt resolution.
  • •Designed the full RAG pipeline and model-serving stack using Flask backends and React/Kotlin interfaces.
  • •Integrated OpenEDX and Django resources to improve educational content accessibility and evaluation workflows.
RAGColPaliFlaskReactKotlinOpenEDXDjango

MLOps Platform Engineering Intern

Internship

bluebeak.ai

Dec. 2021 – Feb. 2022

Remote

  • •Built command-line ETL tool capable of streaming data using Kafka stream from a source database to a sink database.
  • •Deployed the solution using Docker and Kubernetes pipeline.
  • •Studied different frameworks like Gradio and Streamlit and recommended their use based on the use-case at hand.
KafkaDockerKubernetesETLGradioStreamlitPython

Research & Development Intern

Internship

HSBC

Jun. 2020 – Jul. 2020

Kolkata, India

  • •Predicted stock option prices using Monte Carlo simulations in a quantum computer using Qiskit Framework.
  • •Achieved quadratic speed up on error convergence of Monte Carlo thus showing potential for huge cost cutting.
  • •Used the algorithm to simulate stock price and validated the result using the BlackScholes-Merton model.
QiskitQuantum ComputingMonte Carlo SimulationPythonFinancial Modeling

Machine Learning Engineer Intern

Internship

StepsWatch

May. 2020 – Jun. 2020

Remote

  • •Built a Python backend in Flask that delivers visual graphs based on analysed data to a React Native front end.
  • •Created a pipeline for facial recognition and face masking (Gaussian Blur) on videos built using Dlib library.
FlaskPythonReact NativeDlibComputer VisionFacial Recognition

Full Stack Android and Django Developer Intern

Internship

Lubble Technology

Oct. 2019 – Aug. 2022

Remote

  • •Built an Android app with frontend in Java and backend using Django, Node.js and Firebase.
  • •Built and maintained multiple REST APIs in Django and wrote cloud functions for Firebase in Node.js.
  • •Maintained database of the users using MySQL and used technologies like Celery and RabbitMQ.
JavaAndroidDjangoNode.jsFirebaseREST APIsMySQLCeleryRabbitMQ

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