Software Development Engineer 2

Ainesh Sannidhi

US Citizen ***************@*****.*** +1-469-***-**** LinkedIn GitHub Portfolio Website EXPERIENCE

EXL

Software Development Engineer II August 2023 – Present

● Part of the product engineering team, leading a team of four in the development of an AI-enhanced financial application suite used by global enterprises, integrating automated data processing, intelligent workflow management, and AI/ML-driven insights for financial decision-making.

● Maintained and managed multiple versions of a complex enterprise application using Git, ensuring backward compatibility and smooth feature rollouts across environments.

● Developed a document processing pipeline, using OCR, NLP and ML models to extract and validate data from order documents, automating order entry and reconciliation and leading to a 75% reduction in unapplied cash for our clients.

● Created configurable, rule-driven workflows for finance teams to manage approval logic and automate reconciliations, improving time-to-close by 25%.

Lab for Spatial Informatics, IIITH

Undergraduate Research Fellow Jan 2023 – June 2023

● Collaborated with Dr. Rehana Shaik to apply machine learning models on large-scale historical climate datasets, predicting future climate patterns across various regions in India.

● Developed and fine-tuned regression models, implemented data pre-processing pipelines for time-series data from the CMIP6 dataset, and evaluated model performances. Center for Visual Information Technology, IIITH

Undergraduate Research Fellow May 2021 – Dec 2022

● Worked with Dr. Avinash Sharma and Dr. Ravi Kiran S in the fields of Volumetric Capture, 3D Reconstruction and Human Action Recognition.

● Trained parametric body models to extend classic ML models to incorporate Indian classical dance forms.

● Improved 3D human non-rigid dynamic reconstruction using techniques such as multi-view surface reconstruction and self-supervised depth image denoising.

● Implemented the multi-view extension of the PIFu model based on the original paper, augmenting the provided single-view code to support multi-view feature aggregation with depth supervision; integrated the pipeline with a 7-camera Kinect setup for multi-view data capture and evaluation.

● Partial Skeleton Action Recognition: Designed a pipeline to train models on partial skeleton data using AlphaPose and Kinetics-700, addressing real-world occlusions and multi-person scenarios. Curated a custom dataset through selective class filtering and trained models to recognize actions using only confident joint predictions, avoiding unreliable joint completion.

● Hand Mesh Estimation under Occlusion: Evaluated state-of-the-art hand mesh models (e.g., IntagHand, HandOccNet) on occluded scenarios using the NTU RGB+D 120 dataset. Performed person-part segmentation using models like CDCL and BodyPix to identify when hands were fully occluded and proposed estimating rest poses instead of unreliable mesh predictions.

Plivo

Software Engineer Intern June 2022 – August 2022

● Built core features of a cloud communications platform, focusing on scalable architecture and robust API integration.

● Engineered custom RESTful APIs and middleware wrappers to integrate the customer database and application interface.

● Integrated client and employee authentication and security protocols, including Google SSO. Novelty Data Solutions

Software Development Engineer Intern June 2021 – July 2021

● Developed an application for a government medical institution, aimed at providing accessible information about healthcare providers, institutions, and professionals across a pan-India healthcare directory.

● Structured and organized data from private and public healthcare providers, and implemented advanced search and filtering algorithms for efficient access to their details and contact information. Product Labs, IIITH

Software Developer Intern January 2021 – May 2021

● Developed a scalable platform to translate PDFs/eBooks from English into regional languages using Python and MERN.

● Optimized the translation API and text extractor to allow full-page translation within 50 seconds using GraphQL. EDUCATION

International Institute of Information Technology, Hyderabad (IIITH) B.Tech. in Computer Science and Engineering (Honors)

● Teaching Assistant: 4 Undergraduate Courses

● GPA: 3.29/4.00, Spring 2021 Dean’s List - 3.87/4.00

● Relevant Coursework: Data Structures & Algorithms, Statistical Methods in AI, Machine Data and Learning, Computer Vision, Information Retrieval and Extraction, Data and Applications, Algorithm Analysis and Design PROJECTS

Movie Recommender System [Link]

Python NLP

● Built a Movie Recommender System similar to Netflix, utilizing factors like actors, genre, and by extracting semantic information from plot summaries using BERT. Incorporated user-specific recommendations based on their previous reviews, enhancing personalization. Virtual Classroom [Link]

Unity Google VR Cardboard SDK React C#

● Developed a VR classroom environment supporting up to 16 users, optimized to run on VR headsets and Android devices.

● Implemented features such as voice chat, real-time interaction with peers, presentation sharing, and an external whiteboard app created using React where teachers can control these features and use certain admin privileges. Ainux - Linux Shell in C [Link]

C Operating Systems

● Developed a custom CLI based on Linux Shell, implementing several commonly-used commands such as ls and history

● Supports inline commands, signal handling, foreground/background processes, chained redirection and piping. Computer Graphics

C++ OpenGL Blender

● Rendered and animated multiple 3D solids and recreated the popular games Among Us and Sky Force using OpenGL and WebGL along with an animated trailer in Blender. SKILLS

Languages: C, C++ (STL), Python, Shell Scripting, HTML5, CSS, Javascript, BASH, x86, y86, OpenGL, SQL, Angular, React Python Libraries: NumPy, OpenCV, Open3D, SciKitLearn, Pandas, MatPlotLib, NLTK, Keras, PyTorch Others: Unity, Web & App Development

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