Susmit Vengurlekar
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Specialized in real-time data pipelines (Kafka, Flink), graph databases (Neo4j), and full-stack development. I design and build end-to-end solutions from backend data infrastructure to intuitive user interfaces.
KEY SKILLS
SPEAKER
Architecture Lab
Click nodes to explore the pipeline
Featured Work
Real-Time Click-Through Rate Analysis
The Challenge
High latency in processing user impressions and clicks for ad-tech analytics.
The Solution
Implemented a Flink streaming job with Kafka as the message bus to process data in real-time.
Impact
Reduces data processing latency from minutes to milliseconds, enabling real-time decision making.
Kong API Gateway with Observability
The Challenge
Lack of visibility into microservices traffic and performance bottlenecks.
The Solution
Deployed Kong API Gateway with OpenTelemetry and OpenObserve for end-to-end tracing and metrics.
Impact
Improves system reliability and reduces mean time to resolution (MTTR) for API issues.
QnA on Knowledge Graph
The Challenge
Difficulty in retrieving accurate answers from unstructured data using traditional search.
The Solution
Built a RAG system using Neo4j as a knowledge graph to provide context-aware answers.
Impact
Enhances answer accuracy and relevance by leveraging graph relationships.
Work Experience
Founding Team Member at AIDAX
- Responsible for the strategic direction and development of AIDAX, focusing on innovative AI solutions.
Senior Data Scientist and Software Architect at Xcellen PTE Ltd
- Developed Gen AI use cases, including identifying logic breaches in survey data and automating insights generation for PowerPoint slide decks.
- Automated the creation of Diagnostic Framework PowerPoint presentations with thinkcell charts, text, and tables based on tabular data.
- Prepared and documented user, logic, and data flow diagrams; developed a Bonus Payout Curve Generator; acted as technical program manager for the in-house product XBoost.
Team Lead and Data Scientist at Zeza Technologies
- Led a team of 4 developers and 3 interns, coordinating with QA Head and Project Manager to delegate tasks effectively.
- Assumed additional roles such as Frontend Developer and DevOps as needed.
- Planned features in advance, breaking them down into well-defined and documented tasks for estimation and progress measurement.
Data Scientist and Backend Developer at Zeza Technologies
- Developed a Data Engineering and ML-as-a-Service platform with auto ML, auto feature engineering, EDA, and explainable AI capabilities.
- Reduced costs and improved performance by ~60% by rearchitecting systems using SQS, Circle CI, on-demand EC2s, Lambda functions, auto timeout systems, and static site hosting.
Backend Developer and Database Engineer for Flyer Lively: Interests & Hobbies
- Developed backend services and managed databases using PostgreSQL, Node.js, Python, and the Serverless Framework.
Founding Team Member at AIDAX
- Responsible for the strategic direction and development of AIDAX, focusing on innovative AI solutions.
Senior Data Scientist and Software Architect at Xcellen PTE Ltd
- Developed Gen AI use cases, including identifying logic breaches in survey data and automating insights generation for PowerPoint slide decks.
- Automated the creation of Diagnostic Framework PowerPoint presentations with thinkcell charts, text, and tables based on tabular data.
- Prepared and documented user, logic, and data flow diagrams; developed a Bonus Payout Curve Generator; acted as technical program manager for the in-house product XBoost.
Team Lead and Data Scientist at Zeza Technologies
- Led a team of 4 developers and 3 interns, coordinating with QA Head and Project Manager to delegate tasks effectively.
- Assumed additional roles such as Frontend Developer and DevOps as needed.
- Planned features in advance, breaking them down into well-defined and documented tasks for estimation and progress measurement.
Data Scientist and Backend Developer at Zeza Technologies
- Developed a Data Engineering and ML-as-a-Service platform with auto ML, auto feature engineering, EDA, and explainable AI capabilities.
- Reduced costs and improved performance by ~60% by rearchitecting systems using SQS, Circle CI, on-demand EC2s, Lambda functions, auto timeout systems, and static site hosting.
Backend Developer and Database Engineer for Flyer Lively: Interests & Hobbies
- Developed backend services and managed databases using PostgreSQL, Node.js, Python, and the Serverless Framework.
Education
B.Sc. in Information Technology from DG Ruparel College, Mumbai University (2018 - 2021) - CGPA: 9.73
HSC Commerce from D.G. Ruparel College of Arts, Science and Commerce - 86.46%
FYJC (11th Std.) - 82.15%
SSC - 91.4%
Tech Blogs
Technical insights and deep dives
Live Projects
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GitHub Repositories
Open source contributions and experiments
Tech Stack
Expert tools and usecase matchmaker
Python
DartTypeScript
sklearn
PostgreSQL
Serverless Framework
GitHubDocker
Professional Courses and Badges
Verified credentials and certifications
Introduction to Stream Processing and Apache Flink®
Neo4j Graph Data Science Fundamentals
MongoDB Advanced Schema Design Patterns and Anti-patterns Skill Badge
MongoDB Aggregation Fundamentals
Building AI Agents with MongoDB
Building RAG Apps Using MongoDB
Building AI-Powered Search with MongoDB Vector Search
Introduction to Apache Flink® SQL
MongoDB Query Optimization Techniques
Neo4j - Introduction to Vector Indexes and Unstructured Data
Introduction to Stream Processing and Apache Flink®
Neo4j Graph Data Science Fundamentals
MongoDB Advanced Schema Design Patterns and Anti-patterns Skill Badge
MongoDB Aggregation Fundamentals
Building AI Agents with MongoDB
Building RAG Apps Using MongoDB
Building AI-Powered Search with MongoDB Vector Search
Introduction to Apache Flink® SQL
MongoDB Query Optimization Techniques
Neo4j - Introduction to Vector Indexes and Unstructured Data
Introduction to Stream Processing and Apache Flink®
Neo4j Graph Data Science Fundamentals
MongoDB Advanced Schema Design Patterns and Anti-patterns Skill Badge
MongoDB Aggregation Fundamentals
Building AI Agents with MongoDB
Building RAG Apps Using MongoDB
Building AI-Powered Search with MongoDB Vector Search
Introduction to Apache Flink® SQL
MongoDB Query Optimization Techniques
Neo4j - Introduction to Vector Indexes and Unstructured Data
Introduction to Stream Processing and Apache Flink®
Neo4j Graph Data Science Fundamentals
MongoDB Advanced Schema Design Patterns and Anti-patterns Skill Badge
MongoDB Aggregation Fundamentals
Building AI Agents with MongoDB
Building RAG Apps Using MongoDB
Building AI-Powered Search with MongoDB Vector Search
Introduction to Apache Flink® SQL
MongoDB Query Optimization Techniques
Neo4j - Introduction to Vector Indexes and Unstructured Data
What People Say
“I entered in knowing absolutely nothing but you never treated me like a novice, you shared your intellect with me just as any other developer, and I won't ever forget that. You also brought the fun memories in Zeza, and I have never seen anyone else with this much knowledge and experience be so down to earth and funny. All in all, you have inspired me, and I won't ever forget what I learned through you.”
Let's Connect
I'm always enthusiastic to get exposed to different problems and challenges.
Recommended Books
Books that shaped my thinking
Approaching (Almost) Any Machine Learning Problem
Design Patterns (Gang of Four)
Clean Code
Clean Architecture
Designing Data Intensive Applications
Fundamentals of Data Engineering
Atomic Habits