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Pranav AsalekarPA
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Pranav Asalekar

@pranavasalekar

I build industrial IoT telemetry and anomaly-alerting backend platforms.

India
Message

What I'm looking for

I'm looking to build reliable backend and distributed systems products, particularly in industrial IoT, telemetry, alerting, data processing, and anomaly detection, where I can contribute to system design and production-scale engineering.

At Pivotol AI, I build and maintain EdgeStream, an industrial IoT telemetry and anomaly-alerting platform supporting 10K+ events per second. I helped productize its proof of concept into a production-ready backend component, reducing false-positive alerts by about 30% and query latency by about 40%.

I design backend services and alerting features using FastAPI, Celery, RabbitMQ, PostgreSQL, and Redis. My work includes Stale and Dead Alert types, CSV bulk data ingestion, telemetry data modeling, distributed locking, and investigation of asynchronous race conditions, message-queue failures, and cache-state inconsistencies.

Previously, I supported global finance and supply-chain ERP platforms at Infosys, using SQL and Oracle databases to resolve production issues. I also bring data analysis and early-stage anomaly-detection research experience, including feature engineering and evaluation of XGBoost and residual-based forecasting approaches.

Experience

Work history, roles, and key accomplishments

PA
Current

Software Engineer

Pivotol AI

Jun 2025 - Present (1 year 2 months)

Build and maintain backend services for an industrial IoT telemetry and anomaly-alerting platform using FastAPI, Celery, RabbitMQ, PostgreSQL, and Redis, supporting 10K+ events/sec ingestion throughput. Own the platform's technical specification and contribute to system design and backend architecture discussions with senior engineers and solution architects.

AT

Python Backend Developer

ARG Technologies

Apr 2025 - Jun 2025 (2 months)

Transferred to Pivotol AI in Jun 2025 upon project integration. Joined the EdgeStream project, contributing to backend telemetry ingestion and rule-based alert evaluation using FastAPI and asynchronous processing pipelines.

IN

System Engineer

Nov 2019 - Aug 2022 (2 years 9 months)

Supported enterprise ERP platforms — JD Edwards EnterpriseOne and Microsoft Dynamics NAV — for finance and supply chain operations across global clients. Performed SQL-based root cause analysis on Oracle databases to resolve production issues including batch failures and financial workflow errors.

Education

Degrees, certifications, and relevant coursework

University of Leicester logoUL

University of Leicester

Master of Science, Data Analysis for Business Intelligence

2022 - 2024

Pursued an MSc in Data Analysis for Business Intelligence, focusing on data analytics and business intelligence techniques.

Savitribai Phule Pune University logoSU

Savitribai Phule Pune University

Bachelor of Engineering, Computer Engineering

2015 - 2019

Earned a Bachelor of Engineering in Computer Engineering, covering core computer science and engineering principles.

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