Tuhin Chakrabarty

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building high-performance backend systems.
Proven track record in fintech automation and ML integration.
Strong experience in cloud-native engineering on AWS.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in cloud-native systems and machine learning.

Contact

Skills

Core Skills

Backend DevelopmentMachine LearningLow-latency SystemsApi DevelopmentWeb Development

Other Skills

Python (Programming Language)EngineeringAWS EKSKafkaFaustML/NLPPostGISRedisOpenTelemetryCloudWatchPythonDjangoC++ReactFlask

About

I am a Software Engineer specializing in building high‑performance backend systems, distributed data pipelines, and real‑time intelligence platforms at scale. My work combines cloud-native engineering on AWS, streaming architectures with Kafka/Faust, and production-grade ML/NLP systems for fintech automation. I’ve delivered sub‑second, high‑reliability financial processing at PayU and built low‑latency C++/Python services, automated QA systems, and secure trading workflows at Bank of America. With experience across backend design, ML integration, observability, and system reliability, I bring end‑to‑end engineering ownership and a strong track record of improving performance, stability, and operational efficiency in enterprise environments.

Experience

2 yrs 10 mos

Total Experience

2 yrs 4 mos

Average Tenure

6 mos

Current Experience

Payu

Software Engineer

Dec 2025 – Present · 6 mos · Bengaluru · Hybrid

At PayU, I am designing and scaling PRISM, a cloud‑native real-time SMS Intelligence Platform that is processing millions of financial messages daily.
I am focusing on building high‑performance distributed systems on AWS EKS, MSK, Redis, and PostGIS, ensuring sub‑second end‑to‑end latency. I am developing complete streaming pipelines using Kafka and Faust, and building production‑grade ML/NLP components with PyTorch, BERT, and FastText to automate financial signal extraction such as transaction detection, sender categorization, salary estimation, and temporal pattern analysis. I am also architecting robust backend services with Python, Django, DRF, and Celery, integrating JWT security, rate limiting, and multi‑environment CI/CD workflows.
To maintain reliability at scale, I am driving platform observability using OpenTelemetry, SigNoz, and CloudWatch, supported by structured logging, distributed tracing, and fault‑tolerant design patterns. Through this work, I am delivering a highly scalable, auto‑healing fintech intelligence system that is maintaining more than 80% automated test coverage.

Python (Programming Language)EngineeringAWS EKSKafkaFaustML/NLP+6

Bank of america

Software Engineer -1 (Global Markets)

Jul 2023 – Nov 2025 · 2 yrs 4 mos · Gandhinagar · Hybrid

During my time at Bank of America, I worked on low‑latency C++ and Python services for the Apex/Martini repo trading platform, improving stability and execution performance across global desks. I built a Tornado-based API and RASA NLU system that powered the Optimus chatbot, replacing licensed tools and reducing operational costs significantly. I introduced a React and Flask automated regression testing framework that cut manual QA effort by nearly 90%. To strengthen production reliability, I implemented C++ and SQL‑driven monitoring and alert systems that prevented recurring sequence and data‑consistency failures. I also led SSH/SFTP remediation across more than 40 servers and decommissioned over 50 legacy applications to improve the security posture. As an SME for Quartz, Optimus, and key frontend technologies, I provided L3/L4 support, performed code reviews, and ensured continuous stability for critical trading workflows.

C++Python (Programming Language)ReactFlaskSQLLow-latency Systems+1

Able

Django Developer

Feb 2022 – Apr 2022 · 2 mos · India

At Able, I developed a production-ready CRM using Django, implementing role‑based authentication, live analytics dashboards, and advanced search capabilities. I integrated intelligent features such as lead scoring, conversion prediction, and smart agent assignment, along with Celery-driven asynchronous processes and custom user models. I also focused on secure development practices and delivered a clean, responsive interface using Tailwind CSS and Jinja templating.

Reasoning SkillsTailwind CSSWeb Development

Pantech proed pvt ltd

Intern

Jan 2022 – Jun 2023 · 1 yr 5 mos · India · Remote

At Pantech ProEd, I built machine learning models for forecasting, classification, and reinforcement learning applications while working across real-world datasets and deployed environments. I developed computer vision and AI solutions using OpenCV, OCR techniques, and emotion detection systems, and deployed deep learning models onto edge devices. Additionally, I automated several Excel-based workflows and created analytical dashboards using Power BI and Tableau. I ensured all ML output was reliable and production-ready by validating models with precision/recall metrics, R² scores, confusion matrices, and systematic statistical evaluation.

Reasoning SkillsProblem Solving

Foxmula - the smart way

Javascript Developer

Nov 2021 – Jan 2022 · 2 mos · Bangalore, India · Remote

During my internship at Foxmula, I built a real-time chat application using Node.js and Socket.IO, supporting features like file sharing, reactions, user presence, reconnection handling, and room-based communication. I designed a smooth, responsive UI enriched with alerts, animations, and intuitive interactions that enhanced the overall messaging experience.

Web Application DevelopmentWeb-based Software DevelopmentWeb Development