Sachin C. profile photo 1 on Tal

Sachin C.

I’m just a regular self-guided person who creates simple solutions to simple problems.

Bengaluru

6+ years of work experience

Oracle
Aug 20242 y 1 moPresent

Bangalore

* Agentic AI On-Call Assistant Tech: Python, Streamlit, OCI GenAI/LLM, LangChain, LangGraph, RAG, Chroma, embeddings, sentence-transformers, MCP, Jira Architected and developed an agentic AI solution for on-call incident investigation, combining OCI-hosted LLMs with runbook and historical Jira context to generate grounded root-cause hypotheses and resolution plans. Implemented a RAG pipeline with Chroma vector search, embedding-based retrieval, metadata filtering and context refinement to surface relevant operational knowledge for each incident. Orchestrated multi-step agent workflows for query decomposition, planning, MCP tool selection, argument generation, evidence extraction and resolution evaluation; embedded human approval/edit/skip controls for safe execution. * Network Analytics Detection (NAD) AI Data Platform Tech: Java, Apache Spark, Spark SQL, Structured Streaming, Kafka, Delta Lake, Parquet, OCI Object Storage, OCI Logging/Monitoring, Jira Built a petabyte-scale AI data platform for network analytics and detection, ingesting batch and streaming telemetry; normalized, validated and enriched data into Delta/Parquet for downstream analytics and model-ready datasets. Engineered a multi-stage detection lifecycle spanning feature-ready data preparation, signal/detection generation, enrichment, summarization, alert correlation and Jira routing with checkpointed observability. Developed configurable Spark consumers, transformers and mappers that create structured detection records, support traceable incident workflows and integrate with OCI Logging/Monitoring and Jira Service Management.
InMobi
Sep 20221 y 10 moJul 2024

Bengaluru, Karnataka, India

* AI-Powered Negative Search Term Automation Built an AI-assisted system using LangChain and OpenAI to identify low-performing Bing Ads keywords and classify them as Negative Search Terms (NSTs) based on campaign objectives. Automated the exclusion of irrelevant and underperforming search terms, improving campaign quality and strategic budget utilization. Increased operational efficiency by 25% for Account Managers and Account Strategists. * CampSense - Intelligent Campaign Automation Platform Built CampSense, a data-driven campaign automation platform that executes user-defined rules to automatically adjust bids and pause or resume advertising campaigns. Designed scalable backend workflows using Python, Django, PostgreSQL, Redis, and Celery for reliable rule evaluation and asynchronous job processing. Developed data pipelines to process campaign-performance signals and rule conditions, enabling automated, near-real-time campaign actions. IAM Role & Permissions Management Designed and implemented a centralized role- and permission-management solution using Auth0, Azure Active Directory, Java, Spring Boot, and MS SQL Server. Enabled teams to independently create, manage, and assign roles and permissions, improving access-control governance and operational efficiency. * Data Engineering Platform & Pipeline Infrastructure Independently established Apache Airflow infrastructure on Azure Kubernetes Service (AKS) to orchestrate and monitor reliable, scalable data pipelines. Partnered with multiple engineering and data teams to enable scheduling, dependency management, monitoring, and operational visibility for shared data workflows. Supported Databricks-based data-processing workloads and pipeline orchestration, helping teams build and run scalable ETL/ELT workflows. Automated infrastructure provisioning and deployments using Terraform, Docker, Git, Azure, and CI/CD practices, reducing manual effort and deployment errors.
ZestMoney
Apr 20225 moSep 2022

Bengaluru, Karnataka, India

• Introduced UPI Autopay functionality to enable automated recurring payments via UPI, integrated seamlessly with Paytm for enhanced payment options. • Expanded payment alternatives beyond e-Mandates and Paper NACH, diversifying payment methods for improved user convenience. • Spearheaded the re-architecture of the AutoDebit system by introducing the Debit Manager service, encompassing various components such as UPI-Autopay, NACH, and e-Mandates with the individualized implementations. • Applied SOLID principles and utilized design patterns such as the Factory Pattern to manage component creation within the Debit Manager service.
ZestMoney
Aug 20201 yr 8 mosMar 2022

Bengaluru, Karnataka, India

• Introduced UPI Autopay functionality to enable automated recurring payments via UPI, integrated seamlessly with Paytm for enhanced payment options. • Expanded payment alternatives beyond e-Mandates and Paper NACH, diversifying payment methods for improved user convenience. • Spearheaded the re-architecture of the AutoDebit system by introducing the Debit Manager service, encompassing various components such as UPI-Autopay, NACH, and e-Mandates with the individualized implementations. • Applied SOLID principles and utilized design patterns such as the Factory Pattern to manage component creation within the Debit Manager service.

Sachin’s AI Stack

codex
codex
hugging face
hugging face
langchain
langchain
langgraph
langgraph
langsmith
langsmith
Langflow
Langflow

Education

Indian Institute of Technology, Guwahati

Bachelor of Technology, Computer Science

Indian Institute of Technology, Guwahati

20164 yrs2020
Jawahar Navodaya Vidyalaya - JNV

Jawahar Navodaya Vidyalaya - JNV

20096 yrs2015

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Headline

I’m just a regular self-guided person who creates simple solutions to simple problems.

About

I am an accomplished professional delivering nearly 4 years of experience in Java and Python Technologies, specializing in Test-Driven Microservice Architecture. My dexterity lies in DevOps practices, including continuous integration, deployment, and monitoring, to streamline development workflows and improve operational efficiency. Demonstrated excellence in CI/CD methodologies, MVC, SOA, RESTful Web Services, SQL/NoSQL/Vector Data Stores, and High-Level Design (HLD) and Low-Level Design (LLD). Key Achievements: • I’ve mastered the administration of OOPs, SOLID principles, Collections, and Multi-threading, with hands-on experience in AI technologies like OpenAI.

Location

Bengaluru

AI stack

codex

hugging face

langchain

langgraph

langsmith

Langflow

Work experience

Senior Software Engineer at Oracle, Aug 2024 - Present · 2 y 1 mo, Bangalore, * Agentic AI On-Call Assistant Tech: Python, Streamlit, OCI GenAI/LLM, LangChain, LangGraph, RAG, Chroma, embeddings, sentence-transformers, MCP, Jira Architected and developed an agentic AI solution for on-call incident investigation, combining OCI-hosted LLMs with runbook and historical Jira context to generate grounded root-cause hypotheses and resolution plans. Implemented a RAG pipeline with Chroma vector search, embedding-based retrieval, metadata filtering and context refinement to surface relevant operational knowledge for each incident. Orchestrated multi-step agent workflows for query decomposition, planning, MCP tool selection, argument generation, evidence extraction and resolution evaluation; embedded human approval/edit/skip controls for safe execution. * Network Analytics Detection (NAD) AI Data Platform Tech: Java, Apache Spark, Spark SQL, Structured Streaming, Kafka, Delta Lake, Parquet, OCI Object Storage, OCI Logging/Monitoring, Jira Built a petabyte-scale AI data platform for network analytics and detection, ingesting batch and streaming telemetry; normalized, validated and enriched data into Delta/Parquet for downstream analytics and model-ready datasets. Engineered a multi-stage detection lifecycle spanning feature-ready data preparation, signal/detection generation, enrichment, summarization, alert correlation and Jira routing with checkpointed observability. Developed configurable Spark consumers, transformers and mappers that create structured detection records, support traceable incident workflows and integrate with OCI Logging/Monitoring and Jira Service Management.

SDE-2 at InMobi, Sep 2022 - Jul 2024 · 1 y 10 mo, Bengaluru, Karnataka, India, * AI-Powered Negative Search Term Automation Built an AI-assisted system using LangChain and OpenAI to identify low-performing Bing Ads keywords and classify them as Negative Search Terms (NSTs) based on campaign objectives. Automated the exclusion of irrelevant and underperforming search terms, improving campaign quality and strategic budget utilization. Increased operational efficiency by 25% for Account Managers and Account Strategists. * CampSense - Intelligent Campaign Automation Platform Built CampSense, a data-driven campaign automation platform that executes user-defined rules to automatically adjust bids and pause or resume advertising campaigns. Designed scalable backend workflows using Python, Django, PostgreSQL, Redis, and Celery for reliable rule evaluation and asynchronous job processing. Developed data pipelines to process campaign-performance signals and rule conditions, enabling automated, near-real-time campaign actions. IAM Role & Permissions Management Designed and implemented a centralized role- and permission-management solution using Auth0, Azure Active Directory, Java, Spring Boot, and MS SQL Server. Enabled teams to independently create, manage, and assign roles and permissions, improving access-control governance and operational efficiency. * Data Engineering Platform & Pipeline Infrastructure Independently established Apache Airflow infrastructure on Azure Kubernetes Service (AKS) to orchestrate and monitor reliable, scalable data pipelines. Partnered with multiple engineering and data teams to enable scheduling, dependency management, monitoring, and operational visibility for shared data workflows. Supported Databricks-based data-processing workloads and pipeline orchestration, helping teams build and run scalable ETL/ELT workflows. Automated infrastructure provisioning and deployments using Terraform, Docker, Git, Azure, and CI/CD practices, reducing manual effort and deployment errors.

SDE 2 at ZestMoney, Apr 2022 - Sep 2022 · 5 mo, Bengaluru, Karnataka, India, • Introduced UPI Autopay functionality to enable automated recurring payments via UPI, integrated seamlessly with Paytm for enhanced payment options. • Expanded payment alternatives beyond e-Mandates and Paper NACH, diversifying payment methods for improved user convenience. • Spearheaded the re-architecture of the AutoDebit system by introducing the Debit Manager service, encompassing various components such as UPI-Autopay, NACH, and e-Mandates with the individualized implementations. • Applied SOLID principles and utilized design patterns such as the Factory Pattern to manage component creation within the Debit Manager service.

SDE 1 at ZestMoney, Aug 2020 - Mar 2022 · 1 yr 8 mos, Bengaluru, Karnataka, India, • Introduced UPI Autopay functionality to enable automated recurring payments via UPI, integrated seamlessly with Paytm for enhanced payment options. • Expanded payment alternatives beyond e-Mandates and Paper NACH, diversifying payment methods for improved user convenience. • Spearheaded the re-architecture of the AutoDebit system by introducing the Debit Manager service, encompassing various components such as UPI-Autopay, NACH, and e-Mandates with the individualized implementations. • Applied SOLID principles and utilized design patterns such as the Factory Pattern to manage component creation within the Debit Manager service.

Education

Bachelor of Technology, Computer Science, Indian Institute of Technology, Guwahati

Jawahar Navodaya Vidyalaya - JNV