Hemkar Goswami

Product Developer (Software Engineer & Product Manager)

Product Developer bridging the gap between engineering and product strategy. With a strong foundation in AI/ML and full-stack development, I build scalable, data-driven solutions that solve real user problems. Currently pursuing my Master's at UT Austin.

Get in Touch View Experience

hemkarg@utexas.edu

(737) 328-2702

Austin, Texas

Hemkar Goswami

Why Product?

As a Product Developer, I bridge the technical and strategic worlds. My background as a Software Engineer allows me to build feasible, scalable solutions, while my Product Management experience ensures those solutions solve the right problems and drive business value. I leverage AI and data to create products that truly impact.

Professional Experience

Product Management Consultant

Brumley Institute for Graduate Entrepreneurship Jan 2026 - Present Austin, USA
  • Regulator AI (Enterprise AI / Compliance Tech): Led GTM beachhead validation and defined potential enterprise personas; developed a value proposition matrix enabling focused sales outreach.
  • Built a Top-100 enterprise target account list prioritized by regulatory exposure and revenue potential; designed a 3-tier pricing strategy with a feature-differentiated value ladder.
  • Created a financial model forecasting revenue, COGS, and LTV to support leadership pricing decisions; authored a sales negotiation playbook for enterprise deals.
  • Muid Mecca Medical (MedTech): Evaluated licensing-only commercialization feasibility and built hospital & OEM licensing economics including pricing matrices.
  • Developed long-range financial projections and an IPO-oriented pro-forma model; authored a global cleft workforce shortage report modeling supply-demand gaps.

Data Engineer (Capstone Project)

CoPointAI Jan 2026 - Present Austin, USA
  • Data Engineering & Architecture: Lead the integration of Microsoft Fabric Lakehouse and Warehouse environments, establishing a unified data foundation.
  • SQL & Semantic Modeling: Architecting semantic models and T-SQL query templates to enable seamless translation of natural language questions into business insights.
  • Scalability & Performance: Optimizing data ingestion and transformation pipelines to support a high-accuracy (target ≥ 80%) Natural Language Query (NLQ) engine.
  • Cross-Functional Collaboration: Partnering with AI/ML and Full-Stack developers to implement a Retrieval-Augmented Generation (RAG) pipeline with grounded, cited responses.
  • Product-Led Insight: Driving 'speed to insight' by developing features for proactive anomaly detection, reducing manual analyst workloads from hours to minutes.

Software Engineer 2

Zenoti August 2024 - June 2025 Hyderabad, India
  • AI Scribe: Led end-to-end development from a 60-hour hackathon POC to a production platform used by 100+ beta customers.
  • Architected a scalable, serverless AWS solution achieving 80-90% reduction in documentation time and 95%+ accuracy.
  • Spearheaded the HyperConnect voice platform, determining scope and roadmap to scale to 100K+ calls/month, contributing to $10M ARR.
  • Implemented generative AI-powered call analysis and automation, resulting in a 30% increase in conversion rates.
  • Engineered an in-house voice MVP utilizing Twilio, unlocking 25% new-logo revenue and supporting 50% YoY usage growth.
  • Ensured compliance with complex international regulations (UK, Singapore, US), reducing critical delivery failures by 40%.
  • Managed 10+ Sev-1 incidents via coordinated response; introduced sprint safeguards that improved release stability.

Software Engineer

Zenoti August 2022 - August 2024 Hyderabad, India
  • Modernized C#/.NET Core monolith, boosting throughput by 30% and reducing P1 incidents by 50% through strategic tech debt payoff.
  • Integrated Instagram and WhatsApp Business APIs into HyperConnect, enhancing cross-functional collaboration and customer-facing solutions.
  • Led deployment of third-party integrations (AWS QuickSight, Gainsight), resolving complex technical challenges via robust data pipelines.
  • Utilized behavioral data analytics to drive UX improvements, reducing page load times by 75%.
  • Drove backlog prioritization and cross-platform delivery (Flutter + .NET), resulting in a 10% speed boost and fewer crashes.

Software Engineer Intern

Zenoti February 2022 - August 2022 Hyderabad, India
  • Translated ambiguous product requirements into precise technical specifications in Flutter while collaborating with PMs and senior engineers.
  • Prototyped UI/UX enhancements and improved release efficiency by 20% via testing and tooling.
  • Contributed to sprint planning and cross-team syncs for timely delivery.

Research Intern

IIT-BHU July 2021 - November 2021 Varanasi, India
  • IoT & Machine Learning: Conducted research on time series analysis for IoT-based HVAC system automation for occupancy prediction.
  • Analytical Models: Evaluated occupancy prediction using Linear Discriminant Analysis (LDA) and Dempster Schafer Evidence Theory, achieving up to 99.98% accuracy.
  • Training: Facilitated peer-based research by training others in machine learning and data analysis for upcoming publications.

Project Intern

Hewlett Packard Enterprise (HPE) March 2021 - July 2021 Bengaluru, India
  • CI/CD & Microservices: Spearheaded investigations into microservice application behavior within CI/CD frameworks.
  • Orchestration: Developed and deployed Dockerized microservices on Kubernetes, performing automated load testing for scalability.
  • Chaos Testing: Designed and executed chaos testing use cases using Litmus tools, strengthening system resilience by 25%.

Project Intern

BSNL June 2019 Guwahati, India
  • Telecommunications: Learned operation, troubleshooting, and maintenance of complex telecom systems.
  • Standardization: Initiated study to standardize project management practices.

Key Projects

Multi-Agent Consulting System

  • Architected a modular orchestration engine in Python that coordinates three distinct LLM agents (Performance, Risk, Audience) to parallelize influencer auditing.
  • Reduced analysis time by ~90% compared to serial prompting by implementing a hierarchical multi-agent system using OpenAI Agents SDK.
  • Engineered a RAG-Lite pipeline to inject historical influencer data into the context window, eliminating hallucinations in the 'Interactive Consultant'.
  • Utilized Pydantic models for strict JSON Schema outputs, ensuring 100% data compatibility with the React frontend and dynamic UI rendering.
GitHub Link
View on GitHub

AI Receptionist Agent

  • Engineered an AI-driven voice assistant utilizing Twilio for telephony integration and LLMs for real-time customer engagement and automated scheduling.
  • Integrated Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines to handle inbound calls and execute tool-calling for booking databases.
  • Built a call analysis layer to transcribe and analyze interactions, identifying missed business opportunities and customer sentiment.
  • Developed agent orchestration logic in Python, focusing on robust error handling, low-latency responses, and state management.

Social Network Analytics Dashboard

  • Integrated AI agents that continuously ingest and structure multi-platform engagement events to surface trend signals (topics, spikes, anomalies).
  • Implemented semantic analysis on user comments to classify sentiment and detect key themes behind engagement shifts.
  • Architected integrations with Enterprise Application Platforms (EAPs) via standardized APIs/webhooks to sync metrics into CRMs and internal hubs.
  • Designed sensitive data-aware pipelines with anonymization and field-level filtering for enterprise-grade data governance.

Disease Prediction Chatbot

  • Built an AI-driven chatbot using Python, NLTK, and Keras to diagnose potential diseases based on patient-reported symptoms.
  • Leveraged Natural Language Processing (NLP) to interpret user inputs and Deep Learning models to analyze symptom patterns.
  • Achieved accurate preliminary diagnoses by employing a wide range of ML libraries from the Python ecosystem.

Slope Stability AI Predictor (Mobile App)

  • Developed a mobile application powered by artificial neural networks (ANN) to predict slope stability with 99% accuracy.
  • Optimized factor-of-safety analysis for residual soil and rock slopes using SQL/Python, achieving a 20% model lift.
  • Published research in Civil Engineering Journal (April 2022) showcasing Neural Networks in infrastructure safety.
99% ANN Accuracy
20% Model Lift

Real Estate Price Prediction during COVID-19

  • Engineered an end-to-end ML pipeline quantifying COVID-19's impact on Mumbai real estate using Linear Regression, KNN, and K-Means Clustering.
  • Transformed unstructured data via advanced feature engineering, achieving 99% model accuracy for pricing forecasts.
  • Published in Springer Nature Computer Science, demonstrating the ability to translate applied AI research into peer-reviewed industry contributions.
99% Accuracy
Springer Publication

Stock Market Prediction – A Comparative Analysis

  • Proposed an automated trading system designed to achieve high-accuracy stock predictions and issue profitable trade signals.
  • Integrated mathematical functions with machine learning models and external factors such as news sentiment analysis.
  • Developed a comparative framework utilizing the Python ecosystem to evaluate different predictive approaches.

Healthcare Analytics Using Machine Learning

  • Explored various use cases in the healthcare domain to demonstrate the efficacy of machine learning in clinical settings.
  • Applied key ML algorithms to clinical and diagnostic data to improve patient outcome tracking.
  • Documented and analyzed the application of predictive modeling in diverse healthcare data contexts.

IoT-based HVAC System Automation

  • Conducted time series analysis for automating HVAC systems based on real-time occupancy prediction.
  • Evaluated optimal prediction methods using Linear Discriminant Analysis (LDA) and Dempster Schafer Evidence Theory.
  • Achieved a high accuracy of 99.98% in predicting room occupancy, enabling significant energy savings.

F1 Analytics Dashboard

  • Built an end-to-end race analytics dashboard centralizing telemetry and session statistics into an interactive web app using Streamlit.
  • Ingested F1 session data from public APIs/CSV datasets, then cleaned and joined multi-table results using Pandas.
  • Designed a modular data pipeline separating raw ingestion, transformation, and visualization layers for plug-and-play functionality.
  • Optimized transformations with vectorized Pandas operations, keeping dashboard interactions under one second.
  • Containerized the app with Docker for reproducible deployment across cloud environments.

High-Performance Trading System Simulator

  • Developed a production-style high-performance trading backend that ingests real-time market data via REST/WebSocket APIs.
  • Engineered a Linux-based system using PostgreSQL for ACID-compliant storage and async multiprocessing for parallel strategy execution.
  • Designed a real-time order execution engine with sub-millisecond latency targets and automated failure recovery for 99.9% uptime.
  • Built a comprehensive risk management layer including position logging, balance monitoring, and PnL computation.

Parallelization of Nucleotide Sequences

  • Implemented the Smith-Waterman Algorithm for local sequence alignment to analyze randomly generated nucleotide sequences.
  • Developed both serial and parallel processing versions of the algorithm to conduct a comparative analysis of computational performance.
  • Optimized sequence alignment tasks, demonstrating the efficiency of parallel computing in processing complex genomic data.

Courier Management System

  • Engineered a web-based management portal to digitize operations, integrating Blockchain capabilities and smart contracts for booking/tracking.
  • Implemented live geo-tracking via Google APIs to provide real-time package tracing for companies and customers.
  • Developed a strong routing algorithm considering real-time traffic data to improve delivery efficiency.

Omega Jobs - A Startup Theme

  • Developed 'Omega Jobs' to connect low-literacy workers in India with minimum wage opportunities.
  • Implemented a custom tag-based sorting algorithm to efficiently match employers with workers.
  • Designed a highly accessible UI for users with limited literacy to create profiles and navigate independently.
  • Structured a scalable freemium business model offering core services at no cost.

Automatic Railway Crossing

  • Designed an automated railway crossing prototype using Arduino microcontrollers and IR sensors to simulate safety automation.
  • Programmed logic to detect approaching trains and automatically trigger gate actuation using motor drivers.
  • Demonstrated the application of sensor-based control systems in preventing railway accidents.

Hodu Academy (EdTech Startup)

  • Orchestrated the full product lifecycle from ideation to launch, driving a 40% MoM user growth by validating solution fit.
  • Architected a hybrid operational model integrating offline centers with a digital platform, driving 5x onboarding velocity.
  • Led cross-functional pods via OKRs and backlog management, fostering a culture of disciplined execution.
5x Onboarding
40% User Growth

Technical Skills

Programming Languages

Python Java Flutter .NET C C++ C# Dart SQL HTML CSS JavaScript PHP Kotlin MATLAB R

AI & Machine Learning

AI Orchestration Prompt Engineering LLMs Generative AI RAG Multi-Agent Systems Neural Networks NLP Computer Vision Vector Embeddings

Backend & Systems Engineering

Microservices Docker Kubernetes API Design AWS (Lambda/S3) PostgreSQL Microsoft Fabric CI/CD Async/Multiprocessing Blockchain

Product & Strategy

Product Management GTM Strategy Pricing & Packaging Roadmap Prioritization Stakeholder Management Rapid Prototyping (MVP) Agile Methodology OKR Alignment Management Consulting UX Research

Tools & Platforms

Git Linux (Ubuntu) VS Code Twilio AWS QuickSight Gainsight Salesforce Platform Litmus Postman

Education

The University of Texas at Austin

Master of Science, Information Technology & Management

Expected May 2026

Vellore Institute of Technology (VIT)

Bachelor of Technology in Computer Science

Vellore, India

Research Publications

Slope Stability Prediction for Rock and Residual Soil Slopes

Civil Engineering Journal, April 2022

Published research on predicting slope stability using machine learning techniques (ANN), contributing to infrastructure safety.

Machine Learning Neural Networks Data Analysis Infrastructure Safety

Real Estate Market Analysis During COVID-19

Springer Nature Computer Science

Research analyzing the impact of COVID-19 on Mumbai's real estate market using Linear Regression, KNN, and K-Means.

Data Science Real Estate COVID-19 Impact ML Algorithms

Stock Market Prediction – A Comparative Analysis

IRJET, June-July 2021

Comparative framework evaluating predictive approaches for financial markets including sentiment analysis.

Financial AI Sentiment Analysis Python

Healthcare Analytics Using Machine Learning

IRJET, June-July 2021

Exploration of ML use cases in clinical and diagnostic settings for improved patient outcome tracking.

HealthTech Predictive Modeling ML

Certifications

Gold Certificate – Security Analyst

NASSCOM, Level 7, 2021

Databases and SQL for Data Science

IBM, November 2019

Fundamentals of Parallelism

Intel Corporation, October 2019

Community Leadership

COVID-19 Relief Volunteer

Coordinated supply drives and awareness campaigns; recognized by the State Government of Uttar Pradesh in 2020.

Kashika Shakti Club

Drove tech and engagement strategies for women empowerment and child education.

My 5-9 after my 9-5!

Sports & Fitness

FC Barcelona, Messi, and regular fitness routines.

Entertainment

The Office, anime, manga, and superhero movies.

Travel

Exploring beaches and coastal destinations.

Let's chat!

Reach out to me to talk software engineering, product management, or just to connect.

Email

hemkarg@utexas.edu

Send Email

Phone

(737) 328-2702

Call Now

Location

Austin, Texas

View on Map