Jun 2024 – Jul 2025 · 1 yr 1 mo · Greater London, England, United Kingdom

Aug 2023 – Present · 2 yrs 10 mos · California, United States

• Architected Agentic AI infra using LLM orchestration, memory modules, and tool-use frameworks (LangChain, LangGraph, LlamaIndex), enabling autonomous task execution
• Developed scalable GenAI microservices with Python FastAPI, TypeScript, and GCP, integrating asynchronous pipelines and vector/graph databases for retrieval optimization, boosting API throughput by 22%.
• Integrated multimodal GenAI features, combining RAG pipelines, text-to-speech (TTS), and speech-to-text (ASR) to enhance interactive travel experiences, driving 53% growth in user engagement.
• Implemented monitoring and CI/CD automation with Docker, Kubernetes, and Terraform, ensuring continuous delivery of AI models and robust fault recovery under production workloads
• Collaborated cross-functionally with product and design teams to define AI agent behaviors, context windows, and prompt templates, ensuring accuracy and reduced hallucination rates across deployed models
• Developed sleek UI/UX with SEO-optimised frontend using Next.js enabling Server-Side Rendering
• Seamlessly collaborating with cross-functional teams in U.S. time zones, demonstrating adaptability and commitment to global remote work!

Jul 2023 – Jan 2025 · 1 yr 6 mos · India · Remote

• Orchestrated a "System Design" Masterclass, covering both Low-Level and High-Level Design to empower participants with the skills to architect scalable solutions.
• Introduced Python in the "Coding for CEOs" Masterclass, emphasizing its business-tech synergy
• Led "Data Analytics" Masterclass, using various Python Libraries for hands-on EDA sessions
• Delivered "Data Structures & Algorithms" Masterclass simplifying concepts of DSA for beginners
• Teamed with assistants for effective session delivery, receiving accolades for instructional excellence

Apr 2023 – Jun 2023 · 2 mos

• Actively seeking opportunities to learn and grow more within the startup ecosystem, demonstrating a dynamic and enthusiastic approach
• Gaining insights into lean startup methodologies, customer acquisition, and growth strategies from industry experts
• Proactively networking to explore innovative problem-solving and business development
• Developing an entrepreneurial mindset, embracing startup challenges and fast-paced culture
• Driven to make a significant impact in startups, leveraging creativity and adaptability

Nov 2022 – Mar 2023 · 4 mos · Tokyo, Japan · On-site

• Leveraged cloud-backend expertise to Optimize Architecture, reducing AWS monthly costs by 40% from $20k to $12k
• Spearheaded Browsing History feature on MyProfile page of jp.mercari.com, creating Confluence Design Doc and JIRA tickets
• Implemented experimentation practices to enhance Transaction page UI/UX by Agile methodology, deploying in CircleCI
• Mercari is a community-powered shopping app from Japan that creates value in a global marketplace where anyone can buy and sell

May 2022 – Oct 2022 · 5 mos · Bengaluru, Karnataka, India · Remote

• Architectured cutting-edge Big Data technologies using - Hudi in Amazon EMR, Kafka in AWS MSK, Debezium, RDS
• Implemented Change Data Capture (CDC) pipeline connecting RDS Table to Hudi Table using Spark, PySpark Scala

Apr 2022 – Oct 2022 · 6 mos · Sydney, New South Wales, Australia · Remote

• Developed Retool functionalities for both web and mobile apps, optimizing database queries in it for enhanced performance
• Enabled the successful implementation of Geo-targeting for location-based content in linkby.com using No-Code Webflow
• Contributed to the design and implementation of performant applications using Javascript, Node.js, Vue.js and PostgreSQL

Dec 2021 – Jan 2022 · 1 mo · Bengaluru, Karnataka, India

Jul 2021 – Jul 2021 · 0 mo

• Selected in this integrated learning course with practical industry applications through an immersive experience with Amazon Scientists
• Inculcated knowledge about some key ML topics including Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probabilistic Graphical Models and Sequential Learning

Jun 2021 – Mar 2022 · 9 mos · Mumbai, Maharashtra, India · Remote

• Launched a full-fledged serverless website that offers mastersessions, gigs, and social learning to over 6000 students
• Integrated website’s React-built frontend, with AWS DynamoDB’s database, authentication was handled using AWS Cognito
• Led a team of 3 interns and distributed the tasks accordingly by following the Test-driven Development methodology

Jun 2021 – Jul 2021 · 1 mo

• Mentored and upskilled more than 300 students of various colleges of India and Sri Lanka in the field of Full Stack Web Development using MERN stack, by training them, giving live sessions, and then clearing all their doubts
• Guided them about careers by giving valuable insights regarding Business communication, LinkedIn profile building, CV-building, and a lot more
• Recorded all these videos and maintained them properly in a Youtube playlist that has more than 25000 views as of now

Jun 2021 – Jul 2021 · 1 mo · Greater London, England, United Kingdom

• Developed a near Realtime-Analytics web app that can handle 45000 requests, architect using Socket.io of Node.js & RabbitMQ as a message broker
• Built a voice assistant in Python using SpeechRecognition to perform google search operations and to query from the database by connecting with APIs

Feb 2021 – Apr 2021 · 2 mos · Bengaluru, Karnataka, India

• Integrated the NLTK Vader in the backend to perform the sentimental analysis of the reviews posted by the users in the Web App
• Developed the above using Python in the backend, SQLite as the database, and Javascript, AJAX, Bootstrap, Chart.js in the frontend

Jan 2021 – Jun 2021 · 5 mos · Singapore

• Developed the entire BoltX.Finance Web Application in the field of NFT and Cryptocurrency, using Next.js
• Integrated and build new features in the Bolt+ and BoltX Mobile Application using React Native
• Designed and Developed the main website bolt.global using WordPress and then in React

Jan 2021 – May 2021 · 4 mos · Bengaluru, Karnataka, India

• Developed the dashboard.qrate.ai web application using Next.js in frontend and Django in backend and AWS for deployment
• Designed and developed two more websites qrate.ai and aviate.jobs using React
• Integrated Typeform through Django middleware, with Zoho to capture data via Zappier

Dec 2020 – Feb 2021 · 2 mos · New York, United States

• Developed cross-platform mobile application using the Flutter framework which used DART language
• Integrated that mobile application's backend with Firebase and used various features of it like Firebase Authentication, Google Sign-In, Firebase Realtime Database.

Oct 2020 – Aug 2021 · 10 mos · Bengaluru, Karnataka, India

• Developed the Audio-Video Annotation Web Application and deployed it using Docker, also connected it with AWS s3 Bucket and Google ASR feature
• Deployed deep learning models in AWS Lambda and Django to create microservices to serve the Multimedia Metadata Extraction Web Application
• Enabled the Automatic Transcription of the selected audio which led to a drastic reduction by 80% of the total time required to perform the annotation

Aug 2020 – Oct 2020 · 2 mos · Bengaluru, Karnataka, India

• Scalable Services and Analytics for Covid contact tracing | Prof. Yogesh Simmhan | Department of Computational and Data Sciences
• Optimised the development of the GoCoronaGo App, by converting Java Servlet code into Flask and Node.js / Express, connecting it to MongoDB
• Extracted and Analysed the tweets and Facebook posts related to Covid-19 using the backend of APIs like Twitter API and Facebook API

Aug 2020 – Oct 2020 · 2 mos · Greater London, England, United Kingdom

• Developed and designed the Elloloop website using ReactJS and TailwindCSS and then integrated the frontend features of it with the backend APIs
• Worked on competitive analysis, identified various methods, proposed solutions and developed innovative strategies to increase the reach of the company

Jul 2020 – Sep 2020 · 2 mos · Bengaluru, Karnataka, India

• Detail Extraction from Pan, Aadhar, VoterID cards using Tesseract OCR and then converted this into a Flask API
• Building customer support chatbot using DialogFlow and Rasa using Natural Language Understanding

Jul 2020 – Aug 2020 · 1 mo · Pune, Maharashtra, India

• Performed Blur and Glare Detection on images of identity cards and faces with 90% accuracy, using OpenCV module and developed APIs using Flask
• Applied these features on network Live Streaming by using Socket Programming using ZeroMQ library, then deployed the former in the Zoop id app
• Implemented OCR on identity cards using Tesseract and Regex, and also made a customer Chatbot using Dialogflow and Rasa using NLP / NLU

May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka, India

• Extracted data using SQL from BigQuery, then performed Data Preprocessing and Exploratory Data Analysis on it to get meaningful insights from data
• Applied Hidden Markov Model and coded the Viterbi Algorithm to predict the app event sequences based on user flow data of a total of 22000 users

Apr 2020 – Oct 2020 · 6 mos · Chicago, Illinois, United States

• Established WebRTC platform in a website of ping 19ms using OpenTok and developed a basic Android Video Chat App which was deployed on Heroku
• Designed and created wireframes for the app in CorelDRAW, and also added necessary features in the Video Call app to enhance communication
• Integrated and modified the functionalities of three different Open Source Android App projects, consisting of EMR system and Video Calling features

Apr 2020 – Jun 2020 · 2 mos · Mumbai, Maharashtra, India

• • Analyzed huge amount of data and wrote SQL queries on it to perform Extract Load Transform

Mar 2020 – Aug 2020 · 5 mos · Kolkata, West Bengal, India

• Influence of Digital Media pertaining to YouTube videos | Prof. Indranil Bose | Department of Management Information Systems
• Computed the screen time of actors with the number of unique actors and their respective face pose estimation with a total accuracy of 88%
• Applied Neural Networks for training data to detect and identify different car brand logos on their respective advertisement videos using YOLO v3
• Extracted speech from videos using FFMPEG and Speech Recognition libraries, on which Sentimental Analysis was done using NLTK Vader

Dec 2019 – Jan 2020 · 1 mo · Kozhikode, Kerala, India

• Reinforcement Learning on Tic-Tac-Toe game using R programming | Prof. Shahid Abdulla | Department of Information Systems
• Improved the performance of Nicholas Proellochs R Library by performing Data Analysis to change the Reward Structure of 406541 possible moves
• Applied Visual Basic for Applications, Advanced Excel techniques, and Python openpyxl operations, to achieve a 50% higher winning probability rate

Jun 2019 – Jul 2019 · 1 mo · Bangalore

• Organised Content Development Team consisting of 8 other members, responsible for Academic Content Creation and Content Curriculum\Research
• Worked on competitive analysis, identified various methods and developed innovative strategies to increase the reach of the company
• Used Advanced Excel and SQL, and also applied the basics of Python to ease the tasks for searching and storing data