Software Engineer

I build backend systems and production software.

Backend engineering, distributed systems, and applied AI — building reliable software from APIs to production infrastructure.

View experience →Resume ↗GitHub ↗LinkedIn ↗

01 / Experience

Professional history

Jan 2026 — Present

Mumbai, India

Jio Haptik Technologies Limited

Software Engineering Intern

Developing and optimizing backend services using Python and Django for scalable enterprise-grade applications supporting production workflows and customer-facing features.

PythonDjangoREST APIsMySQLRedisElasticsearchDockerCI/CD

Jun 2025 — Aug 2025

Kanpur, India

E&ICT Academy, IIT Kanpur

Data Analytics & AI Intern

Completed a six-week internship and project work in Data Analytics using AI.

Data AnalyticsAI

02 / Selected Work

Projects & research

Research / Final-year project

Abnormal EEG Classification

Two-year research collaboration with Command Hospital, Air Force Bangalore, focused on automated abnormal EEG classification using deep learning and signal-processing techniques.

Built EEGNet-based pipelines for normal vs abnormal EEG detection using the TUH EEG Corpus.
Developed a multi-input framework combining raw EEG with handcrafted spectral and non-linear features.
Implemented MNE-Python preprocessing, memory-efficient incremental training, ensemble prediction, and a Streamlit visualization interface.

PythonEEGNetMNE-PythonDeep LearningSignal ProcessingStreamlit

GitHub ↗

Distributed systems

Fault-Tolerant Distributed 3D Printer Orchestration System

Engineered a distributed 3D printer management platform implementing the Raft consensus algorithm for fault-tolerant coordination across nodes.

Designed backend services to manage printers, filament inventory, and print job orchestration using REST APIs.
Implemented leader election, replicated log handling, and consistency validation mechanisms to improve distributed system reliability.
Integrated Firebase persistence to maintain synchronized state and improve fault recovery.

PythonFirebaseREST APIsRaftDistributed Systems

GitHub ↗

AI / NLP

LLM-based Interview Intelligence Platform

Built an AI-driven mock interview platform with personalized question generation and real-time response analysis.

Implemented NLP preprocessing pipelines, Retrieval-Augmented Generation (RAG), and LoRA-based optimization techniques.
Achieved 93% retrieval accuracy and 91.8% voice input accuracy during testing.
Improved response evaluation quality through semantic analysis and contextual ranking mechanisms.

PythonNLPRAGLoRAHTMLCSS

GitHub ↗

Computer vision / Simulation

Real-Time Gesture-Controlled Assistive Robotics Simulation

Developed a gesture-controlled robotic arm simulation for assistive cooking operations, including stirring, pouring, and flipping.

Integrated MediaPipe-based real-time hand tracking with inverse kinematics for robotic motion control.
Simulated realistic robotic interactions using PyBullet physics environments.
Improved gesture recognition responsiveness and interaction accuracy for real-time control flows.

PythonMediaPipePyBullet

GitHub ↗

03 / Contact

Let's talk.

For software engineering opportunities, technical collaborations, or a conversation about the work above.

LinkedIn ↗GitHub ↗