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Lalit Suthar

Senior Software Engineer transitioning to AI | Data Engineering, Gen AI, DevOps & Cloud Architecture

Greater Bengaluru Area

8+ years of work experience

Societe Generale Global Solution Centre
Feb 20233 yrs 7 mosPresent

Bengaluru, Karnataka, India

Engineered high-throughput observability platform handling TB's daily metrics, logs, and traces across millions of events, designing end-to-end pipelines with Kafka, NiFi, Elasticsearch, Druid, Fluentd, FastAPI REST APIs, Celery, RabbitMQ, Docker, Kubernetes, and Grafana for real-time monitoring and alerting. Led credit rating transformation project for SG banking, streamlining data quality and flows to downstream apps using Azure-native Python/FastAPI microservices, slashing processing latency by 60% and enabling scalable deployments via Kubernetes on Linux. Drove platform reliability to 99.99% uptime, integrating AI-driven anomaly detection that reduced incident response times by 70% and optimized cloud costs through proactive resource orchestration.
Wissen Technology - MSCI client
Jan 20221 yr 1 moJan 2023

Bengaluru, Karnataka, India

Architected FastAPI-based RESTful microservices from legacy monoliths, boosting ESG rating app performance by 4x and enhancing data quality through business-aligned ETL pipelines for accurate risk analytics. Collaborated with stakeholders to refactor data-intensive workflows, implementing event-driven architectures that cut deployment cycles by 50% and supported seamless scaling for global financial datasets. Championed code modernization adhering to SOLID principles, mentoring teams on cloud-native best practices to accelerate feature velocity and maintain zero-downtime releases.
Accenture
Jun 20218 mosJan 2022

Bengaluru, Karnataka, India

Developed Django REST APIs, NLP/OCR pipelines, and chatbots for invoice processing and F&A reconciliation, extracting structured data from unstructured sources to automate 80% of manual workflows. Designed data integration layers and delivered ML POCs to leadership, integrating agentic AI for predictive insights that influenced enterprise decisions and reduced reconciliation errors by 65%. Led full-stack contributions across fintech projects, leveraging Python ecosystems for high-availability apps, with rigorous testing ensuring 100% SLA compliance in production environments.
Accenture
Dec 20206 mosMay 2021

Bengaluru, Karnataka, India

Accenture
Nov 20173 yrs 2 mosDec 2020

Bengaluru, Karnataka, India

GitHub
@slalit360

Lalit’s AI Stack

antigravity
antigravity
codex
codex
langchain
langchain
openai
openai
claudecode
claudecode
githubcopilot
githubcopilot

Education

Savitribai Phule Pune University

Bachelor of Technology - BTech, Computer Science

Savitribai Phule Pune University

20134 yrs2017
Scaler

Backend Development | DSA | System Design

Scaler

20221 yr2023

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Headline

Senior Software Engineer transitioning to AI | Data Engineering, Gen AI, DevOps & Cloud Architecture

About

Enthusiastic Python Backend Engineer | Team Lead Ready Specialist Software Engineer at Société Générale, building observability platforms processing TB+ daily metrics, logs & traces across millions of events. Designed end-to-end pipelines with Kafka, NiFi, Elasticsearch, Druid, FastAPI REST APIs, Kubernetes on Azure—delivered 60% latency reduction for credit rating systems and 99.99% uptime via AI-driven anomaly detection. Proven Impact Across Enterprise ✅ MSCI: Architected FastAPI microservices from legacy monoliths (ESG ratings: 4x performance gains, enhanced data quality) ✅ Accenture: Built Django REST APIs, NLP/OCR pipelines, ML POCs (F&A reconciliation: 80% workflow automation) ✅ 8+ Years: Python ecosystems, event-driven architectures, cloud-native deployments (Docker/K8s/Linux CI/CD) Core Expertise 🔧 Backend: Python - FastAPI - Flask -Django - Celery - OAuth -Microservices - SOLID Architecture ⚡ Data/AI: Agentic AI - NLP - OCR - ML Pipelines - ETL Optimization ☁️ DevOps: Azure - Kubernetes - Kafka - Celery - Grafana - Observability 🎓 Education: B.E. Information Technology (Univ. Pune) | Scaler (Advanced DSA + System Design) Leadership Mindset Mentoring teams on AI-augmented workflows and engineering excellence. Passionate about building high-velocity Python squads that deliver business impact. Open to Team Lead - Python Developer roles 📩 DMs open for architecture discussions or AI-agent pipeline collaborations!#Python #FastAPI #Kubernetes #AgenticAI #Observability #Fintech #TeamLead

Location

Greater Bengaluru Area

AI stack

antigravity

codex

langchain

openai

claudecode

githubcopilot

Work experience

Specialist Software Engineer at Societe Generale Global Solution Centre, Feb 2023 - Present · 3 yrs 7 mos, Bengaluru, Karnataka, India, Engineered high-throughput observability platform handling TB's daily metrics, logs, and traces across millions of events, designing end-to-end pipelines with Kafka, NiFi, Elasticsearch, Druid, Fluentd, FastAPI REST APIs, Celery, RabbitMQ, Docker, Kubernetes, and Grafana for real-time monitoring and alerting. Led credit rating transformation project for SG banking, streamlining data quality and flows to downstream apps using Azure-native Python/FastAPI microservices, slashing processing latency by 60% and enabling scalable deployments via Kubernetes on Linux. Drove platform reliability to 99.99% uptime, integrating AI-driven anomaly detection that reduced incident response times by 70% and optimized cloud costs through proactive resource orchestration.

Senior Software Engineer at Wissen Technology - MSCI client, Jan 2022 - Jan 2023 · 1 yr 1 mo, Bengaluru, Karnataka, India, Architected FastAPI-based RESTful microservices from legacy monoliths, boosting ESG rating app performance by 4x and enhancing data quality through business-aligned ETL pipelines for accurate risk analytics. Collaborated with stakeholders to refactor data-intensive workflows, implementing event-driven architectures that cut deployment cycles by 50% and supported seamless scaling for global financial datasets. Championed code modernization adhering to SOLID principles, mentoring teams on cloud-native best practices to accelerate feature velocity and maintain zero-downtime releases.

Advanced App Engineering Sr Analyst at Accenture, Jun 2021 - Jan 2022 · 8 mos, Bengaluru, Karnataka, India, Developed Django REST APIs, NLP/OCR pipelines, and chatbots for invoice processing and F&A reconciliation, extracting structured data from unstructured sources to automate 80% of manual workflows. Designed data integration layers and delivered ML POCs to leadership, integrating agentic AI for predictive insights that influenced enterprise decisions and reduced reconciliation errors by 65%. Led full-stack contributions across fintech projects, leveraging Python ecosystems for high-availability apps, with rigorous testing ensuring 100% SLA compliance in production environments.

Application Development Analyst at Accenture, Dec 2020 - May 2021 · 6 mos, Bengaluru, Karnataka, India

Associate Software Engineer at Accenture, Nov 2017 - Dec 2020 · 3 yrs 2 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology - BTech, Computer Science, Savitribai Phule Pune University

Backend Development | DSA | System Design, Scaler

Public links

github: https://github.com/slalit360