Sharat Chandra Madanapalli Email and Phone Number
Sharat Chandra Madanapalli work email
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Sharat Chandra Madanapalli personal email
I develop AI/ML-powered solutions that create significant value for businesses and users. With expertise in both time-tested ML techniques and cutting-edge GenAI tools, I excel at leveraging complex datasets to create impactful AI solutions that enhance user experiences, deliver actionable insights, and drive new growth opportunities.As a leader, I've steered teams through the entire ML lifecycle—from prototypes to large-scale production deployment—implementing industry-leading Data and MLOps practices and creating robust systems that serve millions of users.Key Achievements:- ML Patents & Publications: Secured multiple patents and published influential papers on applying ML techniques to generate insights via classification, time series modeling, and anomaly detection.- GenAI in Production: Created a user-friendly GenAI interface using a fine-tuned Text2SQL model and custom RAG stack, enabling intuitive interaction with large datasets.- State-of-the-Art Model Development: Engineered FlowFormer, a cutting-edge transformer-based model for encrypted traffic classification, handling millions of requests daily in production.- Enterprise Analytics: Architected scalable data pipelines and AI workloads (on-prem and cloud) capable of processing and analyzing over 5 billion events daily.- Solution Engineering: Drove successful technology trials by delivering tailored solutions that effectively addressed the pain points of customers across Australia, the US, Hong Kong, and India.Currently, I lead data and AI initiatives at Canopus, overseeing strategy, roadmaps, and the execution of scalable AI solutions. I regularly engage in team coaching, sprint planning, and executive-level reporting. I balance leadership with hands-on involvement, dedicating around 40% of my time to coding and solution implementation alongside my team which helps translate strategic vision into tangible results.With a proven record of delivering impactful AI solutions, I’m well-equipped to excel in roles that demand a blend of technical expertise, team leadership, and product development. Let's connect if you're looking for an AI/ML leader who can turn data into disruptive products.
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Founder And DirectorIntune AiSydney, Nsw, Au
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Head Of DataNullify Oct 2024 - PresentSan Francisco, UsBuilding security AI agents powered by rich knowledge graphs to help software orgs ship secure code :) -
Head Of Data & AiCanopus Jul 2023 - Sep 2024Sydney, New South Wales, AuI led transformative initiatives at Canopus, focusing on AI-driven analytics for network operators globally. My primary focus was on setting the strategic vision for the data & AI team, defining roadmaps, and ensuring the successful technical execution of scalable AI-powered systems that drove significant operational improvements for our customers.One of my major achievements was developing a GenAI interface using a fine-tuned Text2SQL model and a custom RAG stack. This innovation allowed users to intuitively engage with complex datasets, resulting in a 5x increase in operational efficiency. Another key project was the creation of an ML-powered anomaly detection tool, which drastically reduced network issue resolution times by 10x.I also spearheaded the migration of our ML/AI stack to Google Cloud, incorporating modern MLOps and DataOps practices. I architected a high-throughput data pipeline capable of processing over 5 billion events daily, utilizing cutting-edge tools like Kafka, MLFlow, and ClickHouse.Alongside my technical contributions, I managed team coaching, sprint planning, and executive-level reporting, ensuring our projects aligned with strategic business goals. -
Lead Data ScientistCanopus Apr 2022 - Jul 2023Sydney, New South Wales, AuI built and led the data team consisting of data scientists, analysts and engineers. We implemented a robust data architecture with a diverse stack that included Airflow, JupyterLab, TimescaleDB, and Metabase. This foundation enabled the creation of resilient ETL pipelines, facilitated ad-hoc analysis, and powered data products that consistently delivered actionable insights.One of my key achievements was developing and deploying FlowFormers, a cutting-edge transformer-based model for traffic classification. This model efficiently classified millions of flows daily, with continuous validation, monitoring, drift detection, and periodic retraining to ensure sustained performance and accuracy. I also developed and productized other ML models that generated key metrics, such as video buffering rates, call drops, and gaming glitch ratios, along with an intuitive health score across network levels.Additionally, I led successful product trials by crafting data-driven solutions tailored to meet the needs of major operators around the world. I developed ML models, created data processing jobs, and engineered interactive dashboards that provided actionable insights from complex datasets, empowering the customers to make informed decisions.
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Software Engineer Ml/Data ScienceCanopus Oct 2019 - Apr 2022Sydney, New South Wales, AuI developed high-performance packet processing software in Golang, utilizing a microservices architecture to extract and analyze critical network KPIs. This involved leveraging tools like gRPC, Go Profilers, and Prometheus tracing to ensure efficient and reliable data processing.I also designed and implemented end-to-end machine learning pipelines, handling everything from prototyping to continuous model training, evaluation, and production deployment. These pipelines supported real-time classification, anomaly detection, and performance forecasting, utilizing technologies like Scikit-Learn, PyTorch, and MLflow.To ensure data integrity and model reliability, I implemented data quality checks, feature engineering pipelines, and ETL jobs on SQL databases, all while maintaining continuous monitoring and alerting systems.
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Ai Research Supervisor / MentorUnsw Jun 2023 - Sep 2024Sydney, New South Wales (Nsw), AuI supervise research students (Bachelor/Masters/PhD) at UNSW Sydney, providing them with regular guidance on applying state-of-the-art AI techniques to problems like online classification and anomaly detection. I provide feedback on problem selection and formulation, methods (dataset curation, models, training strategies), evaluations, and overall work presentation. -
Phd CandidateUnsw Aug 2018 - Apr 2022Sydney, New South Wales (Nsw), AuMeasure, monitor and manage the internet traffic and the associated user experience by leveraging modern programmable networks and machine learning. I researched, designed and built ML-based data extraction systems and methods that are -- scalable (to 100s of Gigabits-per-sec) -- inexpensive (built using commodity white-box switches and servers). My PhD thesis involves three major contributions: - Detection and monitoring of internet applications using pattern recognition on network data.- Inference of the user experience in real-time using statistical modeling and machine learning.- Optimizing resource allocation to improve the experience across classes of internet traffic. ISPs and network operators of carrier and enterprise networks can use the proposed tools and methodologies to assist applications on the internet and provide a great experience to their end-users.
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Research Engineer (Exchange)Eth Zürich Feb 2020 - Jun 2020Zürich, ChI was invited as an academic guest at ETH Zurich to work with Prof. Laurent Vanbever's group and investigate ways to use data-driven programmable packet scheduling to improve QoE of Internet applications. -
Research EngineerTelstra Nov 2019 - Jun 2020Sydney, Nsw, AuAs a part of the academia-industry collaboration, I analyzed network traffic datasets of Telstra 4G deployment to assess the feasibility of generating QoE metrics for 4k video streams. My work included setting up a lab environment with 4G modems, creating network interference, and procuring and analyzing datasets. -
Research EngineerCisco Sep 2018 - May 2019San Jose, Ca, UsAs a part of the industry-academia collaboration, I built a system to model and monitor encrypted carrier wifi-calling sessions in enterprise networks using time-series machine learning. The system secured the enterprise by blocking malicious traffic other than wifi-calls. -
Research AssistantUnsw May 2017 - Dec 2017Sydney, New South Wales (Nsw), AuBachelor's thesis during semester exchange. Research-driven Development.Outcome: x100 scaling up a video traffic monitoring solution to operate at 10 Gbps.Key Contributions:- Data-driven system optimization (one publication)- Developing distributed SDN applications/microservices- Built high-speed packet processing software using DPDK
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Project AssistantCentre For Excellence In Software-Defined Networking (Sdn Lab) Aug 2015 - May 2017Key Contributions: - Setting up of a multi-vendor research testbed with co-operating SDN controllers. - Built a monitoring framework for the testbed using collectd and openflow .- Worked with OpenStack and setup a mini-cloud environment in the lab.- Evaluated datacenter topologies, hypervisor technologies.- Studied the impact of SDN in assisting sensitive applications.
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Summer InternIndian Institute Of Remote Sensing Jun 2016 - Jul 2016Dehra Dun, InOutcome: Deployed DataCube, an analytical framework for Earth Observation Datasets, on terabytes of Uttarakhand's satellite data. Key Contributions:- Understanding and revamping an existing codebase in python of 20000+ lines of code- Adding archival feature to compress/decompress datasets depending on query frequencies- Enable prorgammatic analysis of datasets using jupyter notebook server-client architectureI was given a letter of appreciation for my work by Dr. Prasun Gupta (supervisor). -
Summer InternTofler.In May 2016 - May 2016Gurgaon, Haryana, InKey Outcomes:- Built a server application endpoint which performs lexicon identification with NER and POS tagging - Developed a semantic clustering framework for news articles using Word2Vec and CNN-based machine learning models. -
Joint Publicity CoordinatorAssociation For Computing Machinery, Bits Pilani Aug 2015 - May 2016Involved in publicizing various projects and events organized throughout the year and during APOGEE (Technical fest of BITS Pilani) like Checkmate, Its Elementary, International Coding League and Stock Market Simulation.
Sharat Chandra Madanapalli Education Details
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UnswComputer Systems Networking And Telecommunications -
Birla Institute Of Technology And Science, PilaniComputer Science
Frequently Asked Questions about Sharat Chandra Madanapalli
What company does Sharat Chandra Madanapalli work for?
Sharat Chandra Madanapalli works for Intune Ai
What is Sharat Chandra Madanapalli's role at the current company?
Sharat Chandra Madanapalli's current role is Founder and Director.
What is Sharat Chandra Madanapalli's email address?
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What schools did Sharat Chandra Madanapalli attend?
Sharat Chandra Madanapalli attended Unsw, Birla Institute Of Technology And Science, Pilani.
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