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Experience

Where I've Worked

Building software at the intersection of enterprise systems, AI, and research.

axis-bank

Axis Bank

May 2026 – Jul 2026

SDE Intern

Worked on Siddhi, Axis Bank's Relationship Manager platform serving 50K+ users, developing scalable backend services, React modules and enterprise workflows.

JavaSpring BootReactPostgreSQLRedisKafkaAWS S3

50K+

Platform users

5 → 2

Upload & Validation

Bulk CSV

Upload & Validation

Kafka

Monitoring & Alerts

5 API Calls
Workflow Redesign
2 API Calls

Built secure REST APIs and React modules for the Siddhi RM platform serving 50K+ users

Implemented Maker–Checker approval workflow for enterprise data governance

Developed bulk CSV upload with validation for large-scale data operations

Reduced API calls from 5 to 2 through workflow redesign, improving performance

Built EDM (Enterprise Data Management) workflows for data consistency

Implemented Kafka monitoring dashboards and scheduled reporting

Performed production and UAT debugging for critical system issues

iiser-berhampur

IISER Berhampur

Dec 2025 – Jan 2026

Research Intern

Research internship focused on Knowledge Graphs — building systems to extract entities from web data, map relationships, and enable graph-based question answering.

PythonNeo4jNLPWeb ScrapingKnowledge Graphs
Web
Scraping
Entity Extraction
Relationships
Neo4j
Q&A

Built automated web scraping pipelines for structured data extraction

Implemented Named Entity Recognition (NER) for entity extraction from unstructured text

Designed relationship mapping algorithms for knowledge graph construction

Deployed Neo4j graph database for storing and querying extracted knowledge

Developed a question-answering system powered by the constructed knowledge graph

infosys-springboard

Infosys Springboard

Jan 2026 – Mar 2026

AI / GenAI Intern

Worked on AI/GenAI systems — building speech-to-text pipelines, RAG-based retrieval systems, and LLM evaluation frameworks for conversational insights.

PythonLLMRAGSpeech-to-TextNLPEvaluation Frameworks
Audio / Chat
Speech-to-Text
Normalization
RAG
LLM
Evaluation
Insights

Built speech-to-text transcription pipeline for audio and chat inputs

Implemented text normalization and preprocessing for downstream NLP tasks

Developed RAG (Retrieval-Augmented Generation) system for context-aware responses

Integrated LLM-based response generation with evaluation metrics

Created insight extraction and analytics dashboards from conversational data