---
title: "Lalit Suthar - Specialist Software Engineer in Greater Bengaluru Area | Tal"
description: "Meet Lalit Suthar, Senior Software Engineer transitioning to AI | Data Engineering, Gen AI, DevOps & Cloud Architecture based in Greater Bengaluru Area. AI stack includes antigravity, codex, and langchain. Explore public work links including github."
image: "https://tal.club/meet/lalit-suthar/share-image"
---

# Lalit Suthar on Tal

## 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

[View the original profile](https://tal.club/meet/lalit-suthar)

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