Shyamkrishnan Sudhir

Software Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed scalable systems improving performance by 50%.
Developed AI-powered solutions serving over 100,000 users.
Achieved 94% accuracy in educational AI applications.

Stackforce AI infers this person is a Backend-focused Machine Learning Engineer in the EdTech and Media industries.

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Skills

Core Skills

MicroservicesBackend DevelopmentData EngineeringMachine LearningAi Development

Other Skills

.NET Core.NET FrameworkAPIsAWS DMSAWS MSKAgile Project ManagementAmazon EC2Amazon ECSAmazon S3Amazon Web Services (AWS)AnacondaApache KafkaAutogenAutomationAzure

About

Hey there, I’m Shyamkrishnan Sudhir hailing from Kannur, Kerala. I currently work as a Member of Technical Staff designing and architecting scalable systems for Nielsen Media, Bengaluru under the Lineups & Metadata vertical. Previously I’ve been with BYJU’S Labs, Bengaluru in the Learning & Personalisation team developing AI and backend solutions. I’ve also been with Schneider Electric as a Software Engineer Summer Intern working on DaaS & Azure Functions at their Bengaluru R&D Office. The lifecycle of software development involves working with different people and departments and, as a people person and someone who loves to build new relationships and learn new things, it’s great to be able to come together with other professionals who are striving towards the same goal. So, Let's connect and collaborate on innovations in the tech industry and thereby mark our presence in this world of opportunities and grow together. I am delighted to utilize the skills gained during my studies to solve problems in the engineering world. I always remember that our plan is a living, breathing document that needs to be meaningful in a constantly changing business environment. Thank you for reading. Let all your vision and dreams come true. Good Luck!

Experience

3 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 1 mo

Current Experience

Nielsen

Member of Technical Staff - 1

May 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

1. Designed APIs, HLDs (High-Level Designs),
built & optimized database schemas for Dictionary and Scheduling services across the NCL Syndication platform.
2. Owned multiple critical microservices (Dictionary, Authentication, and Configuration) within a large-scale distributed architecture.
3. Spearheaded end-to-end design of scalable system analysis services, improving performance by 50% through query optimization, schema redesign, and robust API contracts; authored comprehensive Technical Requirement Documents (TRDs) for system alignment.
4. Built real-time Change Data Capture (CDC) pipelines using AWS DMS, Kafka (MSK), and SymmetricDS, ensuring seamless and reliable data replication across distributed systems.
5. Architected and implemented a distributed sequence counter service to support high-concurrency unique ID generation across micro-services, delivering robust and scalable backend solutions with minimal onboarding time.
6. Spearheaded critical enhancements to the NCL infrastructures for Broadcast and Cable in US TV, driving an 80% reduction in incidents within four months through strategic optimizations.
7. Took full ownership of backend architectures, swiftly mastering new technologies and processes to deliver high-impact solutions within a month with minimal knowledge transfer. Led Simulcast systems from the tech side, ensuring smooth delivery of simultaneous broadcast across the US market.

APIsHigh-Level Designsdatabase schemasmicroservicesdistributed architectureChange Data Capture+6

Byju's

2 roles

Software Engineer

Sep 2023 – May 2024 · 8 mos · Bengaluru, Karnataka, India

1. Architected and developed BYJU’S AskWiz, a cutting-edge ed-tech platform, as a BE and ML Engineer, lever- aging state-of-the-art GenAI and DL tools, serving a user base of over 100,000 students and educators with 94% accuracy compared to 85% for GPT-4.
2. Conceptualized and engineered custom open-source Mistral models, replacing GPT-4 for BYJU’s AskWiz, resulting in 45% cost optimization and spearheaded the development of an AI-powered Adaptive Tutor, leveraging LLMs & PineconeDB for dynamic personalized content delivery, Also created a SafeAI layer for filtering non-academic queries with an accuracy of 98%.
3. Developed a cutting-edge ML deduplication system using PyTorch HuggingFace BERT and NLTK for BYJU’s Search QnA and Toppr, enhancing search accuracy by 40% and reducing latency by 20%.
4. Optimized Google-BYJU’s Math Solvers, augmenting CTR by 45%, decreasing latency by 50%, and improving LCP by 40%, delivering an elevated user experience.
5. Fine-tuned Question-to-Subject recognition (Q2S) & intent detection models to 90% accuracy for Universal Search, and maintained ML search models for Toppr, ensuring high-quality search results and user satisfaction.

GenAIDeep LearningMistral modelsLLMsPineconeDBPyTorch+5

Member of Technical Staff

Sep 2022 – Sep 2023 · 1 yr · Bengaluru, Karnataka, India

1. Architected and developed BYJU’S AskWiz, a cutting-edge ed-tech platform, as a BE and ML Engineer, lever- aging state-of-the-art GenAI and DL tools, serving a user base of over 100,000 students and educators with 94% accuracy compared to 85% for GPT-4.
2. Conceptualized and engineered custom open-source Mistral models, replacing GPT-4 for BYJU’s AskWiz, resulting in 45% cost optimization and spearheaded the development of an AI-powered Adaptive Tutor, leveraging LLMs & PineconeDB for dynamic personalized content delivery, Also created a SafeAI layer for filtering non-academic queries with an accuracy of 98%.
3. Developed a cutting-edge ML deduplication system using PyTorch HuggingFace BERT and NLTK for BYJU’s Search QnA and Toppr, enhancing search accuracy by 40% and reducing latency by 20%.
4. Optimized Google-BYJU’s Math Solvers, augmenting CTR by 45%, decreasing latency by 50%, and improving LCP by 40%, delivering an elevated user experience.
5. Fine-tuned Question-to-Subject recognition (Q2S) & intent detection models to 90% accuracy for Universal Search, and maintained ML search models for Toppr, ensuring high-quality search results and user satisfaction.

GenAIDeep LearningMistral modelsLLMsPineconeDBPyTorch+5

Schneider electric

Software Engineer Intern

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India · On-site

1. Developed APIs utilizing .NET Core and Azure to deliver comprehensive information regarding operations pro- cessed across diverse machinery, enabling clients to gain enhanced data-driven insights.
2. Constructed interactive data visualization dashboards for DaaS, facilitating effective exploratory analysis and fostering insightful comprehension for clients.
3. Garnered Managerial Commendation for exemplary performance and was extended the opportunity for Full-Time employment upon completion of the internship.

.NET CoreAzureAPIsdata visualizationDaaSBackend Development+1