May 2024 – Jul 2024 · 2 mos · India

• Wandered solo through the hills by day, and ancient cities in Assassin’s Creed by night.
• One journey was real, the other virtual — both felt like a quest.
• Sometimes, escaping the map helps you rediscover your own.

Jan 2023 – Apr 2024 · 1 yr 3 mos · India · Hybrid

Mar 2022 – Dec 2022 · 9 mos · Bengaluru, Karnataka, India

• Building the Add Tech for Twitter. Part of the CFFM (Core Features and Foundational Modeling) Team.
• ⦾ Feature Importance Tracker visualize the impact of features on ML model performance and send an email alert during significant changes in importance. Lead an effort to reduce the time for the expansion of the tool to other ML models from two weeks to three days.
• ⦾ Built a Feature Analysis Dashboard which visualizes the insights to deprecate low-performing features and sends an email alert if anomalies are found. It improved the velocity of feature engineering drastically.
• 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Python, GCP, Big Query, SQL, Kubeflow, Protobuf, LookML
• Manager: Lokesh Ravindranathan, Nastaran Ghadar
• Mentor: Somya Arora

Feb 2021 – Mar 2022 · 1 yr 1 mo · Gurugram, Haryana, India

• Part of the in-dex choices Team.
• ⦾ Worked on developing HOTW which is the automation of model artifacts deployment process for address suggestions from scratch. It reduced the model training, validation, and deployment time from two weeks to three days. Also won accolades for the same.
• ⦾ Worked on different promotions applied on products during checkout, built the deployment pipeline and integration test for promotions.
• ⦾ Managing the Server Scaling during special events like prime day, flash sale, and overriding the forecast traffic.
• 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Java, Python, Docker, AWS ( Lambda, DynamoDB, S3, EC2, ECR, Batch Job ), Machine Learning
• Manager: Pankaj Sharma, Sumita Narang
• Mentor: Khushali Khurana, Shrey Manik

Oct 2020 – Jan 2021 · 3 mos · North India

• Chased sunrises across Himachal and stories through winding trails.
• Traded screens for skies, and deadlines for Dhauladhar peaks.
• Somewhere between silence and snowfall, I found a louder version of myself.

Jun 2020 – Present · 6 yrs

• Health and AI

Jun 2019 – Jul 2019 · 1 mo · Greater Chennai Area

• 𝗥𝗼𝗮𝗱 𝗜𝗻𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻 𝗨𝘀𝗶𝗻𝗴 𝗔𝗜:
• Developed Software for Dubai Govt. & Larsen & Toubro to detect and recognize missing road assets, garbage, cracks, rutting, potholes, and Dead Animals using SSD, YOLO, Deep Sort-Object Tracking, OCR, VGG, Resnet and achieved an accuracy of 98% and frame rate up to 40FPS.
• 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗘𝗻𝘁𝗿𝗮𝗻𝗰𝗲 𝗔𝘁𝘁𝗲𝗻𝗱𝗮𝗻𝗰𝗲 𝘀𝘆𝘀𝘁𝗲𝗺:
• Developed and deployed Automatic Entrance Attendance system using MTCNN and FaceNet with an accuracy of 97.4% on NVIDIA Jetson Nano Developer Kit and presenting in GITEX World Tech Expo 2019 hosted by Dubai in UAE.
• 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Computer Vision, Machine Learning, Deep Learning, Python, SQL, OpenCV.

Jun 2018 – Jul 2018 · 1 mo · Noida, Uttar Pradesh, India

• 𝗦𝘁𝗼𝗰𝗸 𝗣𝗿𝗶𝗰𝗲 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻:
• ⦾ Developed Stock Price Prediction System using Moving Average, Regression, Artificial Neural Network, RNN, and LSTM.
• ⦾ Prediction system achieved an accuracy of 96.6%.
• 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Machine Learning, Deep Learning, Python.