About

AI, ML, & Generative AI professional with proven production experience deploying deep learning models and optimizing complex workflows. Consistently translates innovative ideas into robust and scalable solutions.

Experience3

1. W

   FullStack Engineer (Intern)

   May 2026 — Present

   Whatbytes

   Built a red teaming application with a Django backend and LLM as judge, integrating middleware such as OneSignal and Mailjet.

2. CM

   Software Engineer (Intern)

   Jan 2026 — May 2026

   Cloud Maven Inc.

   Served as the primary developer for a client project, automating collateral and loss mitigation processes. Optimized PCI-compliant payment processing across various workflows and ran end-to-end testing to identify data mapping errors.

3. IN

   Data Scientist (Intern)

   Jul 2025 — Dec 2025

   Indian Navy - Weapons and Electronic Systems Engineering Establishment

   Optimized ML workflows using Spark and TensorFlow, reducing data processing time by 40%. Developed a real-time streaming pipeline and containerized FastAPI services to ensure module security and maintainability.

Projects4

• Maritime Surveillance (Live and Anomaly)

  Built a real-time Maritime Surveillance System to process live ship positions and detect illegal activities. Implemented a streaming ETL pipeline and developed a Deep Autoencoder for anomaly detection.

  • Tensorflow
  • FastAPI
  • PyFlink
  • Kafka
  • Redis
  • Postgres

• Cabal Agentic AI & Cybersecurity

  Built a red teaming swarm system where multiple autonomous agents collaborate to simulate real-world attacks against a target application. The backend is powered by FastAPI with SQLite.

  • Python
  • FastAPI
  • React
  • TypeScript
  • Neo4j

• Prescripify

  Prescripify is a serverless web application designed for doctors to automatically generate prescriptions from patient conversation audio. This project earned first place at the AWS Amplify Hackathon.

  • Python
  • Flask
  • LangChain
  • AWS

• TULIP - Tuning Using Lora on Input PDFs

  Converted unstructured PDF content into supervised training data using synthetic data generation techniques and fine-tuned a LLaMA model with Low-Rank Adaptation to enhance performance.

  • Python
  • Ollama
  • LORA

Education2

• DA

  Bachelor of Technology

  2022 — 2026

  Dr. Akhilesh Das Gupta Institute of Professional Studies

  Information Technology

• AP

  Senior Secondary Schooling

  2020 — 2022

  Ahlcon Public School