Portfolio

What Service You Will Get From Me

A showcase of innovative solutions built with cutting-edge AI, NLP, and search technologies.

AI-Powered Global Search System (ServiceNow)

Duration – 3 Years

Migrated a legacy Apache Solr-based system to AI Search within ServiceNow, significantly enhancing performance, scalability, and manageability. Developed robust RESTful APIs to enable real-time data ingestion across global ServiceNow portals. Integrated Azure OpenAI to deliver intelligent, generative summaries of search results. Implemented a caching layer to optimize LLM response times and improve user experience.

Tech Stack: Python, Java, AI Search, Azure OpenAI, ServiceNow

Job & Resume Search Engine

Duration – 1 Year

Designed and deployed a scalable job and resume search system using Elasticsearch hosted on AWS. Implemented advanced Boolean and predictive search logic along with multilingual query support to cater to a global user base. Enhanced search quality using language-specific analyzers and optimized the system for performance under high data volume.


Tech Stack: Elasticsearch, Python, Java, AWS, REST APIs

Blockchain-Based Reward System (OI Coin)

Duration – 6 months


Implemented a secure blockchain-based rewards ecosystem using Binance Smart Chain and Solidity. Developed smart contracts to allocate OI Coins to users based on activity. Integrated real-time transaction monitoring and ensured secure handling of user data and crypto assets through REST APIs.

Tech Stack: Solidity, Binance Smart Chain, Python, AWS

Multilingual Chatbot for 50+ Websites

Duration – 3 Years

Developed and deployed an NLP-driven chatbot platform across 50+ websites, supporting 8+ languages. Enabled dynamic entity, intent, and slot recognition using SpaCy and Scikit-learn. Integrated semantic features like spell correction and sentence auto-completion. Managed scalable deployment using Kubernetes and GCP.

Tech Stack: Python, Scikit-learn, SpaCy, Kubernetes, GCP

LLM-Powered Summarization for Auto Fixes

Duration – 3 Years

Used Llama2 models to automate descriptive summarization of automotive repair logs. Extracted key insights such as replaced parts and service recommendations. The output was pre-processed and indexed into Solr for instant retrieval, with continuous model tuning for quality optimization.

Tech Stack: LLMs, Python, Solr, MySQL, Redis

Vehicle Trouble Code Search Engine

Duration – 3 Years

Built a powerful Solr-based search solution for 50M+ vehicle trouble codes. Introduced clustering to organize similar codes and NLP-based entity extraction. Added features like autocorrect and search suggestions, and developed a recommendation engine based on user history.

Tech Stack: Solr, Python, AWS Beanstalk

Unified Search for Communication Suite

Duration – 4 Years

Engineered a unified search engine across integrated communication tools including email (Zimbra), chat (Prodigy Server), and project boards (Redmine). Created a custom Solr integration to handle indexing and querying, with both real-time and bulk ingestion pipelines using Redis Pub/Sub.

Tech Stack: Solr, Java, Spacy, Redis, Zimbra, Redmine

Knowledge Extraction System Using NLP

Duration – 4 Years

Developed a comprehensive NLP platform that combined machine learning and rule-based algorithms. Supported features like summarization, sentiment analysis, and keyword extraction. Enabled dynamic entity recognition and SPARQL-based querying over structured knowledge graphs.

Tech Stack: Python, Java, SPARQL, Apache Solr, Sesame Server

Search & Recommendation Engine for Recruitment

Duration – 1 Years

Designed Solr-based indexing and search APIs for job listings and resumes. Leveraged NLP to enhance candidate-job matching, and implemented Firebase for real-time job notifications. Included entity recognition and recommendation logic for improved relevance.


Tech Stack: Python, Java, Solr, Firebase, NLP

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