Nithish Suresh

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DR.VIVASAAYI (meaning, farmer in tamil) - Agriculture base app

Role: Developer Location: Chennai, India Duration: 2020 Technologies: Android, SQLite, Pre-existing Agricultural Datasets Inspired by my father’s lifelong experience in farming and the challenges of droughts, heavy rains, and plant diseases, I developed a mobile application to provide farmers with accessible agricultural resources and research, enabling them to address crop issues and maximize yield. Designed an Android app allowing farmers to input environmental factors (e.g., soil type, temperature, humidity) to receive tailored recommendations for manure, fertilizers, and disease management. Leveraged pre-existing datasets on plant growth, diseases, and solutions to deliver data-driven insights, ensuring accurate and practical guidance.

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FRPS - FOREST RESOURCES PROTECTION SYSTEM

Role: Developer Location: Chennai, India Duration: 2020 Technologies: Android, Google Maps API, Offline Storage, Backend API To address the challenge of undetected issues in remote national forests and wildlife sanctuaries, I developed a mobile application enabling crowd-sourced reporting of violations, emergencies, and hazards to support forest rangers in timely interventions. Designed an Android app allowing users to report issues with precise location data via Google Maps API, enabling rangers to navigate to incidents efficiently. Implemented a crowd-sourced verification system to prioritize reports based on user confirmations, enhancing reliability and urgency assessment. Enabled offline functionality to store reports locally in areas w

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LIVE TWITTER TEXT ANALYSIS (FINAL YEAR PROJECT) | 2022

Role: Developer Location: Chennai, India Duration: 2020 Technologies: Python, HTML5, CSS, Twitter API, RoBERTa (NLP), JavaScript To address the time-consuming challenge of manually analyzing social media feedback for organizations, influencers, and businesses, I developed a web application that automates real-time sentiment analysis of Twitter hashtags, providing insights into positive, negative, and neutral trends. Built a user-friendly web interface using Python, HTML5, and CSS, allowing users to input a Twitter hashtag and start time to view real-time sentiment trends. Integrated the Twitter Python API to retrieve tweets and employed RoBERTa, a robust NLP model by Facebook, to classify tweets into positive, negative, and neutral sentimen

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SALVLAS - A WOMEN’S SAFETY APP

Role: Developer Location: Chennai, India Duration: 2020 Technologies: Android, Wear OS, Google Maps API, SMS Integration Under the guidance of Dr. J. Dafni, Head of the CSE Department at Anna University, I developed a mobile and Wear OS application to enhance women’s safety in India by enabling rapid communication with police and emergency contacts during critical situations. Designed an Android and Wear OS app allowing users to send SOS text messages with live Google Maps location links to pre-configured emergency contacts, ensuring swift information sharing. Implemented global shortcuts for both mobile and watch interfaces, enabling users to trigger SOS signals without opening the app, enhancing accessibility and response time. Integrated

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ICU management (Research project)

Role: Software Developer (Metrics Ingestion Pipeline Lead) Location: Chennai, India Duration: 2020-2021 Technologies: Google BigTable, Google Pub/Sub, MySQL, Python, IoT, Embedded Systems Collaborated with the Computer Science and Engineering departments at st.joseph's Institute of technology, under Dr. Padmakala M.E., Ph.D., to develop a real-time ICU management system for Annai Arul Hospital, Chennai. The system provides a near real-time dashboard of patient metrics (e.g., blood pressure) with monitoring and alerting for emergencies. Rearchitected the metrics ingestion pipeline, migrating the database from MySQL to Google BigTable to enhance write scalability and efficiently handle sparse data storage. Decoupled the ingestion gateway (pub

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Smart Door Authentication

Mar 2024 - Jun 2024 (4 months)

Role: Developer Location: Michigan, USA Technologies: AWS (Kinesis Video Streams, Rekognition, SNS), DynamoDB, Lambda, Python Developed a distributed smart door system to enhance security through facial recognition and visitor management. Achieved 99.9% face recognition accuracy using AWS Kinesis Video Streams and Rekognition, with response times under 2 seconds. Built a time-limited SMS-based OTP system with 99.9% delivery rate via AWS SNS for authorized visitor verification. Created a visitor registration portal handling 500+ registrations with DynamoDB CRUD operations, ensuring 99.9% API availability via Lambda auto-scaling. This project showcases my expertise in AWS computer vision, serverless architectures, and secure API design. Show

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Tweets Sentiment Analysis V2

Feb 2024 - May 2024 (4 months)

Role: Lead Developer Location: Michigan, USA Technologies: Python, Langchain, Pytorch, Ollama, AWS Developed an analytics platform capable of processing over 10,000 tweets per hour while achieving 92% sentiment classification accuracy through a fine-tuned Llama-2 model and optimized prompt engineering techniques utilizing LangChain. Created a responsive interactive dashboard with customizable time-range and hashtag filters, visualizing sentiment distribution, trending keywords, and temporal patterns with real-time updates. Achieved a 35% reduction in per-tweet latency through LangChain pipeline optimization and maintained 96.9% uptime during high-traffic periods utilizing a containerized Docker deployment with auto-scaling capabilities. Mas

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Chat Application

Jan 2024 - Apr 2024 (4 months)

Role: Lead Developer Location: Lynwood, USA Duration: 01/2024 - 04/2024 Technologies: Go, Chi, WebSockets, AWS DynamoDB, Connection Pooling, TailwindCSS, HTML Engineered a Discord-inspired chat platform capable of supporting 2,500 concurrent clients across eight backend servers, achieving message delivery with an average latency of under 100ms through the utilization of Go, WebSockets, and connection pooling methods for optimal resource management. Implemented a persistent chat storage solution using DynamoDB with Global Secondary Indexes, reaching 10ms read/write latency and designed a consistent hashing router for enabling seamless horizontal scaling with minimal service disruption. Integrated AWS SQS FIFO queues for guaranteed in-order m

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Nithish Suresh

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